Springer Handbook of Bio-/Neuro-Informatics

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Publisher : Springer Science & Business Media
ISBN 13 : 3642305741
Total Pages : 1239 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Springer Handbook of Bio-/Neuro-Informatics by : Nikola Kasabov

Download or read book Springer Handbook of Bio-/Neuro-Informatics written by Nikola Kasabov and published by Springer Science & Business Media. This book was released on 2013-11-30 with total page 1239 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Springer Handbook of Bio-/Neuro-Informatics is the first published book in one volume that explains together the basics and the state-of-the-art of two major science disciplines in their interaction and mutual relationship, namely: information sciences, bioinformatics and neuroinformatics. Bioinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. Neuroinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. The text contains 62 chapters organized in 12 parts, 6 of them covering topics from information science and bioinformatics, and 6 cover topics from information science and neuroinformatics. Each chapter consists of three main sections: introduction to the subject area, presentation of methods and advanced and future developments. The Springer Handbook of Bio-/Neuroinformatics can be used as both a textbook and as a reference for postgraduate study and advanced research in these areas. The target audience includes students, scientists, and practitioners from the areas of information, biological and neurosciences. With Forewords by Shun-ichi Amari of the Brain Science Institute, RIKEN, Saitama and Karlheinz Meier of the University of Heidelberg, Kirchhoff-Institute of Physics and Co-Director of the Human Brain Project.

Computational Neuroscience

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Publisher : Springer Science & Business Media
ISBN 13 : 3319008617
Total Pages : 142 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Computational Neuroscience by : Hanspeter A Mallot

Download or read book Computational Neuroscience written by Hanspeter A Mallot and published by Springer Science & Business Media. This book was released on 2013-05-23 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.

Artificial Neural Networks

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Publisher : Springer
ISBN 13 : 3319099035
Total Pages : 487 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Artificial Neural Networks by : Petia Koprinkova-Hristova

Download or read book Artificial Neural Networks written by Petia Koprinkova-Hristova and published by Springer. This book was released on 2014-09-02 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.

Handbook of Neuroengineering

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Publisher : Springer Nature
ISBN 13 : 9811655405
Total Pages : 3686 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Handbook of Neuroengineering by : Nitish V. Thakor

Download or read book Handbook of Neuroengineering written by Nitish V. Thakor and published by Springer Nature. This book was released on 2023-02-02 with total page 3686 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook serves as an authoritative reference book in the field of Neuroengineering. Neuroengineering is a very exciting field that is rapidly getting established as core subject matter for research and education. The Neuroengineering field has also produced an impressive array of industry products and clinical applications. It also serves as a reference book for graduate students, research scholars and teachers. Selected sections or a compendium of chapters may be used as “reference book” for a one or two semester graduate course in Biomedical Engineering. Some academicians will construct a “textbook” out of selected sections or chapters. The Handbook is also meant as a state-of-the-art volume for researchers. Due to its comprehensive coverage, researchers in one field covered by a certain section of the Handbook would find other sections valuable sources of cross-reference for information and fertilization of interdisciplinary ideas. Industry researchers as well as clinicians using neurotechnologies will find the Handbook a single source for foundation and state-of-the-art applications in the field of Neuroengineering. Regulatory agencies, entrepreneurs, investors and legal experts can use the Handbook as a reference for their professional work as well.​

Neuroinformatics for Neuropsychology

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Publisher : Springer Science & Business Media
ISBN 13 : 1441900608
Total Pages : 133 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Neuroinformatics for Neuropsychology by : Vinoth Jagaroo

Download or read book Neuroinformatics for Neuropsychology written by Vinoth Jagaroo and published by Springer Science & Business Media. This book was released on 2009-08-11 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics involves specialized application of computer technology to investigative and conceptual problems in biology and medicine; neuroinformatics (NI) is the practice of bioinformatics in the neurosciences. Over the past two decades the biomedical sciences have been revolutionized by databases, data mining and data modeling techniques. The Human Genome Project, which depended on informatics methods, has been the most well recognized bioinformatics undertaking. Bioinformatics has since been applied all across biology and medicine, and has also transformed almost every avenue in neuroscience. Yet in neuropsychology, NI perspectives remain largely unrealized. Ironically, NI offers enormous potential to the essential praxis of neuropsychology - assessing cognitive behavior and relating cognition to neural systems. Neuroinformatics can be applied to neuropsychology as richly as it has been applied across the neurosciences. Neuroinformatics for Neuropsychology is the first book to explain the relevance and value of NI to neuropsychology. It systematically describes NI tools, applications and models that can enhance the efforts of neuropsychologists. It also describes the implications of NI for neuropsychology in the 21st century – fundamental shifts away from the conventional modes of research, practice and communication that have thus far characterized the field. One of the foremost experts on the subject: Illustrates the vital role NI is playing throughout the neurosciences. Provides a sampling of NI tools and applications in neuroscience research, and lays out current organization structures that support NI. Describes the lack of NI in neuropsychology, differentiates between NI systems for neuropsychology and conventional computerized assessment methods, and proposes criteria for neuropsychology-specific NI systems. Describes NI applications and models currently in use in neuropsychology, and NI models for neuropsychology that are being pioneered in phenomics research. Discusses potential obstacles and aids to NI in neuropsychology, including issues such as data sharing, standardization of methods, and data ontology. Projects the future of neuropsychological research and practice in light of the new generation of the internet, Web 2.0, geared to collective knowledge building. A vital introduction to a profound technological practice, Neuroinformatics for Neuropsychology is important reading for clinical neuropsychologists, cognitive neuroscientists, behavioral neurologists, and speech-language pathologists. Researchers, clinicians, and graduate students interested in informatics for the brain-behavioral sciences will especially welcome this unique volume.

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

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Publisher : Springer
ISBN 13 : 3662577151
Total Pages : 742 pages
Book Rating : 4.6/5 (625 download)

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Book Synopsis Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence by : Nikola K. Kasabov

Download or read book Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence written by Nikola K. Kasabov and published by Springer. This book was released on 2018-08-29 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.

Springer Handbook of Nanotechnology

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Publisher : Springer
ISBN 13 : 3662543575
Total Pages : 1704 pages
Book Rating : 4.6/5 (625 download)

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Book Synopsis Springer Handbook of Nanotechnology by : Bharat Bhushan

Download or read book Springer Handbook of Nanotechnology written by Bharat Bhushan and published by Springer. This book was released on 2017-11-05 with total page 1704 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive handbook has become the definitive reference work in the field of nanoscience and nanotechnology, and this 4th edition incorporates a number of recent new developments. It integrates nanofabrication, nanomaterials, nanodevices, nanomechanics, nanotribology, materials science, and reliability engineering knowledge in just one volume. Furthermore, it discusses various nanostructures; micro/nanofabrication; micro/nanodevices and biomicro/nanodevices, as well as scanning probe microscopy; nanotribology and nanomechanics; molecularly thick films; industrial applications and nanodevice reliability; societal, environmental, health and safety issues; and nanotechnology education. In this new edition, written by an international team of over 140 distinguished experts and put together by an experienced editor with a comprehensive understanding of the field, almost all the chapters are either new or substantially revised and expanded, with new topics of interest added. It is an essential resource for anyone working in the rapidly evolving field of key technology, including mechanical and electrical engineers, materials scientists, physicists, and chemists.

Springer Handbook of Electrochemical Energy

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Publisher : Springer
ISBN 13 : 3662466570
Total Pages : 1019 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Springer Handbook of Electrochemical Energy by : Cornelia Breitkopf

Download or read book Springer Handbook of Electrochemical Energy written by Cornelia Breitkopf and published by Springer. This book was released on 2016-12-05 with total page 1019 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive handbook covers all fundamentals of electrochemistry for contemporary applications. It provides a rich presentation of related topics of electrochemistry with a clear focus on energy technologies. It covers all aspects of electrochemistry starting with theoretical concepts and basic laws of thermodynamics, non-equilibrium thermodynamics and multiscale modeling. It further gathers the basic experimental methods such as potentiometry, reference electrodes, ion-sensitive electrodes, voltammetry and amperometry. The contents cover subjects related to mass transport, the electric double layer, ohmic losses and experimentation affecting electrochemical reactions. These aspects of electrochemistry are especially examined in view of specific energy technologies including batteries, polymer electrolyte and biological fuel cells, electrochemical capacitors, electrochemical hydrogen production and photoelectrochemistry. Organized in six parts, the overall complexity of electrochemistry is presented and makes this handbook an authoritative reference and definitive source for advanced students, professionals and scientists particularly interested in industrial and energy applications.

The Road from Nanomedicine to Precision Medicine

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Publisher : CRC Press
ISBN 13 : 1000043495
Total Pages : 350 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis The Road from Nanomedicine to Precision Medicine by : Shaker A. Mousa

Download or read book The Road from Nanomedicine to Precision Medicine written by Shaker A. Mousa and published by CRC Press. This book was released on 2020-01-06 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: The enormous advances in nanomedicine and precision medicine in the past two decades necessitated this comprehensive reference, which can be relied upon by researchers, clinicians, pharmaceutical scientists, regulators, policymakers, and lawyers alike. This standalone, full-color resource broadly surveys innovative technologies and advances pertaining to nanomedicine and precision medicine. In addition, it addresses often-neglected yet crucial areas such as translational medicine, intellectual property law, ethics, policy, FDA regulatory issues, nano-nomenclature, and artificial nano-machines—all accomplished in a user-friendly, broad yet interconnected format. The book is essential reading for the novice and the expert alike in diverse fields such as medicine, law, pharmacy, genomics, biomedical sciences, ethics, and regulatory science. The book’s multidisciplinary approach will attract a global audience and serve as a valuable reference resource for industry, academia, and government.

Principles of Institutional and Evolutionary Political Economy

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Publisher : Springer Nature
ISBN 13 : 9811941580
Total Pages : 447 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Principles of Institutional and Evolutionary Political Economy by : Phillip Anthony O’Hara

Download or read book Principles of Institutional and Evolutionary Political Economy written by Phillip Anthony O’Hara and published by Springer Nature. This book was released on 2022-08-29 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the very first book to explicitly both detail the core general principles of institutional and evolutionary political economy and also apply the principles to current world problems such as the coronavirus crisis, climate change, corruption, AI-Robotics, policy-governance, money and financial instability, terrorism, AIDS-HIV and the nurturance gap. No other book has ever detailed explicitly such core principles and concepts nor ever applied them explicitly to numerous current major problems. The core general principles and concepts in this book, which are outlined and detailed include historical specificity & evolution; hegemony & uneven development; circular & cumulative causation; heterogeneous groups & agents; contradiction & creative destruction; uncertainty; innovation; and policy & governance. This book details the nature of how these principles and concepts can be used to explain current critical issues and problems throughout the world. This book includes updated chapters that have won two journal research Article of the Year Awards on climate change (one from the European Association for Evolutionary Political Economy, EAEPE); as well as a Presidential address to the Association for Evolutionary Economics (AFEE) on corruption. The structure of the book starts with two chapters on the principles of institutional and evolutionary political economy: firstly their history, and secondly a chapter on the contemporary nature of the principles and concepts. This is followed by nine chapters applying some of the core principles to current world problems such as the coronacrisis, climate change, corruption, AI-robotics, policy, money & financial instability, terrorism, HIV-AIDS and the nurturance gap. The book finishes with a conclusion, a glossary of major terms and an index. The author’s principles are well established in the literature and this book provides a detailed exposition of them and their application.

Neural Information Processing

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Publisher : Springer
ISBN 13 : 3030042219
Total Pages : 590 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Neural Information Processing by : Long Cheng

Download or read book Neural Information Processing written by Long Cheng and published by Springer. This book was released on 2018-12-03 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set of LNCS 11301-11307 constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The 5th volume, LNCS 11305, is organized in topical sections on prediction; pattern recognition; and word, text and document processing.

Springer Handbook of Computational Intelligence

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Publisher : Springer
ISBN 13 : 3662435055
Total Pages : 1637 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Springer Handbook of Computational Intelligence by : Janusz Kacprzyk

Download or read book Springer Handbook of Computational Intelligence written by Janusz Kacprzyk and published by Springer. This book was released on 2015-05-28 with total page 1637 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.

Artificial Intelligence in the Age of Neural Networks and Brain Computing

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Publisher : Academic Press
ISBN 13 : 0323958168
Total Pages : 398 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Artificial Intelligence in the Age of Neural Networks and Brain Computing by : Robert Kozma

Download or read book Artificial Intelligence in the Age of Neural Networks and Brain Computing written by Robert Kozma and published by Academic Press. This book was released on 2023-10-27 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters. Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN Authored by top experts, global field pioneers, and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making Edited by high-level academics and researchers in intelligent systems and neural networks Includes all new chapters, including topics such as Frontiers in Recurrent Neural Network Research; Big Science, Team Science, Open Science for Neuroscience; A Model-Based Approach for Bridging Scales of Cortical Activity; A Cognitive Architecture for Object Recognition in Video; How Brain Architecture Leads to Abstract Thought; Deep Learning-Based Speech Separation and Advances in AI, Neural Networks

Neural Information Processing

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Publisher : Springer
ISBN 13 : 3319265326
Total Pages : 758 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Neural Information Processing by : Sabri Arik

Download or read book Neural Information Processing written by Sabri Arik and published by Springer. This book was released on 2015-11-21 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four volume set LNCS 9489, LNCS 9490, LNCS 9491, and LNCS 9492 constitutes the proceedings of the 22nd International Conference on Neural Information Processing, ICONIP 2015, held in Istanbul, Turkey, in November 2015. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The 4 volumes represent topical sections containing articles on Learning Algorithms and Classification Systems; Artificial Intelligence and Neural Networks: Theory, Design, and Applications; Image and Signal Processing; and Intelligent Social Networks.

Grassland-Invertebrate Interactions: Plant Productivity, Resilience and Community Dynamics

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Publisher : Frontiers Media SA
ISBN 13 : 2889452905
Total Pages : 256 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Grassland-Invertebrate Interactions: Plant Productivity, Resilience and Community Dynamics by : Ivan Hiltpold

Download or read book Grassland-Invertebrate Interactions: Plant Productivity, Resilience and Community Dynamics written by Ivan Hiltpold and published by Frontiers Media SA. This book was released on 2017-10-13 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural and anthropogenic grasslands such as prairies, meadows, rangelands, and pastures cover more than 40% of the planet’s surface and provide a wealth of ecological services. Grasslands alone store one third of the global carbon stocks and grass roots, through their specific architectures, ensure water cycling and prevent the erosion of fertile topsoil. In addition, grasslands are of vital importance for human food production as vast areas of rangelands and pastures provide feed for livestock. Pastoral legumes mobilize atmospheric nitrogen and improve fertility of arable soils. Not least, grasslands are an essential genetic resource. The three major crop species that feed half of the global population have been bred from wild grasses. Ancestors of our contemporary turf cultivars, common components of urban landscapes and recreation spaces, originated from wild grasslands. Although natural and managed grasslands represent pivotal ecosystems, many aspects of how they function are poorly understood. To date, most attention has focused on grassland primary producers (i.e. forage plants) and mammalian grazers but invertebrates are likely to play an equally, if not more important role in grassland ecosystem functioning. In Australian pastures, for example, the biomass of root-feeding scarab beetles can often exceed that of sheep and plant damage caused by invertebrates is sometimes equivalent to an average dairy cow’s grass consumption. Indeed, grasslands are one of the most densely populated ecosystems with invertebrates being probably the most important engineers that shape both plant communities and the grassland as a whole. In a rapidly changing world with increasing anthropogenic pressure on grasslands, this Research Topic focuses on: 1. How grassland habitats shape invertebrate biodiversity 2. Impacts of climate change on grassland-invertebrate interactions 3. Plant and invertebrate pest monitoring and management 4. Plant-mediated multitrophic interactions and biological control in grasslands 5. Land use and grassland invertebrates 6. Plant resistance to invertebrate pests Given the increasing demand for food and land for human habitation, unprecedented threats to grasslands are anticipated. Resilient to some extent, these key ecosystems need to be better comprehended to guarantee their sustainable management and ecosystem services.

Bio-inspired Neurocomputing

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Publisher : Springer Nature
ISBN 13 : 9811554951
Total Pages : 427 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Bio-inspired Neurocomputing by : Akash Kumar Bhoi

Download or read book Bio-inspired Neurocomputing written by Akash Kumar Bhoi and published by Springer Nature. This book was released on 2020-07-21 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchers as well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.

Handbook of Genetic Programming Applications

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Publisher : Springer
ISBN 13 : 3319208837
Total Pages : 589 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Handbook of Genetic Programming Applications by : Amir H. Gandomi

Download or read book Handbook of Genetic Programming Applications written by Amir H. Gandomi and published by Springer. This book was released on 2015-11-06 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume, written by leading international researchers, reviews the latest developments of genetic programming (GP) and its key applications in solving current real world problems, such as energy conversion and management, financial analysis, engineering modeling and design, and software engineering, to name a few. Inspired by natural evolution, the use of GP has expanded significantly in the last decade in almost every area of science and engineering. Exploring applications in a variety of fields, the information in this volume can help optimize computer programs throughout the sciences. Taking a hands-on approach, this book provides an invaluable reference to practitioners, providing the necessary details required for a successful application of GP and its branches to challenging problems ranging from drought prediction to trading volatility. It also demonstrates the evolution of GP through major developments in GP studies and applications. It is suitable for advanced students who wish to use relevant book chapters as a basis to pursue further research in these areas, as well as experienced practitioners looking to apply GP to new areas. The book also offers valuable supplementary material for design courses and computation in engineering.