Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Special Issue On Applications Of Spiking Neural Networks
Download Special Issue On Applications Of Spiking Neural Networks full books in PDF, epub, and Kindle. Read online Special Issue On Applications Of Spiking Neural Networks ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Optimization of Spiking Neural Networks for Radar Applications by : Muhammad Arsalan
Download or read book Optimization of Spiking Neural Networks for Radar Applications written by Muhammad Arsalan and published by Springer Nature. This book was released on with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of ICE-SEAM 2021: Special Edition by : Mohd Fadzli Bin Abdollah
Download or read book Proceedings of ICE-SEAM 2021: Special Edition written by Mohd Fadzli Bin Abdollah and published by UTeM Press. This book was released on 2022-04-01 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: This e-book is a compilation of papers presented at the 7th International Conference and Exhibition on Sustainable Energy and Advanced Materials (ICE-SEAM 2021) - Virtual Platform, Malaysia on 23 November 2021. This special edition of proceedings has 17 selected papers that focus on IR4.0, including 3D printing and advanced materials, and how it might impact energy systems in numerous ways for sustainable development, especially during the pandemic COVID19.
Book Synopsis Engineering Applications of Neural Networks by : Chrisina Jayne
Download or read book Engineering Applications of Neural Networks written by Chrisina Jayne and published by Springer. This book was released on 2016-08-18 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th International Conference on Engineering Applications of Neural Networks, EANN 2016, held in Aberdeen, UK, in September 2016. The 22 revised full papers and three short papers presented together with two tutorials were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections on active learning and dynamic environments; semi-supervised modeling; classification applications; clustering applications; cyber-physical systems and cloud applications; time-series prediction; learning-algorithms.
Book Synopsis Handbook of Research on Autopoiesis and Self-Sustaining Processes for Organizational Success by : Pa?kowska, Ma?gorzata
Download or read book Handbook of Research on Autopoiesis and Self-Sustaining Processes for Organizational Success written by Pa?kowska, Ma?gorzata and published by IGI Global. This book was released on 2021-01-29 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autopoietic systems show a remarkable property in the way they interact with their environment: on the one hand building blocks and energy (including information) are exchanged with the environment, which characterizes them as open systems; on the other hand, any functional mechanisms—the way the system processes, incorporates building blocks, and responds to information—are totally self-determined and cannot be controlled by interventions from the environment. Information systems in an organization seem to accept the autopoietic system way of development and can help managers to understand the operations of their organizations better. The Handbook of Research on Autopoiesis and Self-Sustaining Processes for Organizational Success is an innovative reference book that presents the meaning of autopoietic organizations for social and information science, examines how autopoietic organizations are information self-producing and self-controlled, and provides a framework for its development in modern organizations. The book focuses on analyzing autopoiesis features such as self-managing, self-sustaining, self-producing, self-regulating, etc. Moreover, as the aforementioned characteristics receive a new interpretation in IT environments, the book also includes an exploration of IT solutions that enable the development of these characteristics. This book is ideal for professionals, academicians, researchers, and students working in the field of information economics and management in various disciplines such as information and communication sciences, administrative sciences and management, education, computer science, and information technology.
Book Synopsis System and Circuit Design for Biologically-Inspired Intelligent Learning by : Temel, Turgay
Download or read book System and Circuit Design for Biologically-Inspired Intelligent Learning written by Temel, Turgay and published by IGI Global. This book was released on 2010-10-31 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The objective of the book is to introduce and bring together well-known circuit design aspects, as well as to cover up-to-date outcomes of theoretical studies in decision-making, biologically-inspired, and artificial intelligent learning techniques"--Provided by publisher.
Book Synopsis Memristors for Neuromorphic Circuits and Artificial Intelligence Applications by : Jordi Suñé
Download or read book Memristors for Neuromorphic Circuits and Artificial Intelligence Applications written by Jordi Suñé and published by MDPI. This book was released on 2020-04-09 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires huge amounts of data and, after the network is trained, it can recognize unforeseen data and provide useful information. The so-called Spiking Neural Networks behave similarly to how the brain functions and are very energy efficient. Up to this moment, both spiking and conventional neural networks have been implemented in software programs running on conventional computing units. However, this approach requires high computing power, a large physical space and is energy inefficient. Thus, there is an increasing interest in developing AI tools directly implemented in hardware. The first hardware demonstrations have been based on CMOS circuits for neurons and specific communication protocols for synapses. However, to further increase training speed and energy efficiency while decreasing system size, the combination of CMOS neurons with memristor synapses is being explored. The memristor is a resistor with memory which behaves similarly to biological synapses. This book explores the state-of-the-art of neuromorphic circuits implementing neural networks with memristors for AI applications.
Book Synopsis Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies by : Mago, Vijay Kumar
Download or read book Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies written by Mago, Vijay Kumar and published by IGI Global. This book was released on 2011-12-31 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need for intelligent machines in areas such as medical diagnostics, biometric security systems, and image processing motivates researchers to develop and explore new techniques, algorithms, and applications in this evolving field.Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies provides a common platform for researchers to present theoretical and applied research findings for enhancing and developing intelligent systems. Through its discussions of advances in and applications of pattern recognition technologies and artificial intelligence, this reference highlights core concepts in biometric imagery, feature recognition, and other related fields, along with their applicability.
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.
Book Synopsis Issues in Networks Research and Application: 2011 Edition by :
Download or read book Issues in Networks Research and Application: 2011 Edition written by and published by ScholarlyEditions. This book was released on 2012-01-09 with total page 1093 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in Networks Research and Application: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Networks Research and Application. The editors have built Issues in Networks Research and Application: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Networks Research and Application in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Networks Research and Application: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Book Synopsis Biopolymers for Medical Applications by : Juan M. Ruso
Download or read book Biopolymers for Medical Applications written by Juan M. Ruso and published by CRC Press. This book was released on 2017-02-17 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an experimental and computational account of the applications of biopolymers in the field of medicine. Biopolymers are macromolecules produced by living systems, such as proteins, polypeptides, nucleic acids, and polysaccharides. Their advantages over polymers produced using synthetic chemistry include: diversity, abundance, relatively low cost, and sustainability. This book explains techniques for the production of different biodevices, such as scaffolds, hydrogels, functional nanoparticles, microcapsules, and nanocapsules. Furthermore, developments in nanodrug delivery, gene therapy, and tissue engineering are described.
Book Synopsis Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation by : Stanisław Kozielski
Download or read book Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation written by Stanisław Kozielski and published by Springer. This book was released on 2017-05-16 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2017, held in Ustroń, Poland, in May/June 2017. It consists of 44 carefully reviewed papers selected from 118 submissions. The papers are organized in topical sections, namely big data and cloud computing; artificial intelligence, data mining and knowledge discovery; architectures, structures and algorithms for efficient data processing; text mining, natural language processing, ontologies and semantic web; bioinformatics and biological data analysis; industrial applications; data mining tools, optimization and compression.
Book Synopsis Handbook On Computational Intelligence (In 2 Volumes) by : Plamen Parvanov Angelov
Download or read book Handbook On Computational Intelligence (In 2 Volumes) written by Plamen Parvanov Angelov and published by World Scientific. This book was released on 2016-03-18 with total page 964 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, computational intelligence, such as thinking machines, have been brought forth to process complex human problems in a wide scope of areas — from social sciences, economics and biology, medicine and social networks, to cyber security.The Handbook of Computational Intelligence (in two volumes) prompts readers to look at these problems from a non-traditional angle. It takes a step by step approach, supported by case studies, to explore the issues that have arisen in the process. The Handbook covers many classic paradigms, as well as recent achievements and future promising developments to solve some of these very complex problems. Volume one explores the subjects of fuzzy logic and systems, artificial neural networks, and learning systems. Volume two delves into evolutionary computation, hybrid systems, as well as the applications of computational intelligence in decision making, the process industry, robotics, and autonomous systems.This work is a 'one-stop-shop' for beginners, as well as an inspirational source for more advanced researchers. It is a useful resource for lecturers and learners alike.
Book Synopsis Applications of Nonlinear Dynamics by : Visarath In
Download or read book Applications of Nonlinear Dynamics written by Visarath In and published by Springer Science & Business Media. This book was released on 2009-02-11 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ?eld of applied nonlinear dynamics has attracted scientists and engineers across many different disciplines to develop innovative ideas and methods to study c- plex behavior exhibited by relatively simple systems. Examples include: population dynamics, ?uidization processes, applied optics, stochastic resonance, ?ocking and ?ightformations,lasers,andmechanicalandelectricaloscillators. Acommontheme among these and many other examples is the underlying universal laws of nonl- ear science that govern the behavior, in space and time, of a given system. These laws are universal in the sense that they transcend the model-speci?c features of a system and so they can be readily applied to explain and predict the behavior of a wide ranging phenomena, natural and arti?cial ones. Thus the emphasis in the past decades has been in explaining nonlinear phenomena with signi?cantly less att- tion paid to exploiting the rich behavior of nonlinear systems to design and fabricate new devices that can operate more ef?ciently. Recently, there has been a series of meetings on topics such as Experimental Chaos, Neural Coding, and Stochastic Resonance, which have brought together many researchers in the ?eld of nonlinear dynamics to discuss, mainly, theoretical ideas that may have the potential for further implementation. In contrast, the goal of the 2007 ICAND (International Conference on Applied Nonlinear Dynamics) was focused more sharply on the implementation of theoretical ideas into actual - vices and systems.
Book Synopsis Algorithmic Bioprocesses by : Anne Condon
Download or read book Algorithmic Bioprocesses written by Anne Condon and published by Springer Science & Business Media. This book was released on 2009-08-14 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fundamental understanding of algorithmic bioprocesses is key to learning how information processing occurs in nature at the cell level. The field is concerned with the interactions between computer science on the one hand and biology, chemistry, and DNA-oriented nanoscience on the other. In particular, this book offers a comprehensive overview of research into algorithmic self-assembly, RNA folding, the algorithmic foundations for biochemical reactions, and the algorithmic nature of developmental processes. The editors of the book invited 36 chapters, written by the leading researchers in this area, and their contributions include detailed tutorials on the main topics, surveys of the state of the art in research, experimental results, and discussions of specific research goals. The main subjects addressed are sequence discovery, generation, and analysis; nanoconstructions and self-assembly; membrane computing; formal models and analysis; process calculi and automata; biochemical reactions; and other topics from natural computing, including molecular evolution, regulation of gene expression, light-based computing, cellular automata, realistic modelling of biological systems, and evolutionary computing. This subject is inherently interdisciplinary, and this book will be of value to researchers in computer science and biology who study the impact of the exciting mutual interaction between our understanding of bioprocesses and our understanding of computation.
Book Synopsis Issues in Networks Research and Application: 2013 Edition by :
Download or read book Issues in Networks Research and Application: 2013 Edition written by and published by ScholarlyEditions. This book was released on 2013-05-01 with total page 1056 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in Networks Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Communication Networks. The editors have built Issues in Networks Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Communication Networks in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Networks Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Book Synopsis Recruitment Learning by : Joachim Diederich
Download or read book Recruitment Learning written by Joachim Diederich and published by Springer Science & Business Media. This book was released on 2010-10-14 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a fascinating and self-contained account of "recruitment learning", a model and theory of fast learning in the neocortex. In contrast to the more common attractor network paradigm for long- and short-term memory, recruitment learning focuses on one-shot learning or "chunking" of arbitrary feature conjunctions that co-occur in single presentations. The book starts with a comprehensive review of the historic background of recruitment learning, putting special emphasis on the ground-breaking work of D.O. Hebb, W.A.Wickelgren, J.A.Feldman, L.G.Valiant, and L. Shastri. Afterwards a thorough mathematical analysis of the model is presented which shows that recruitment is indeed a plausible mechanism of memory formation in the neocortex. A third part extends the main concepts towards state-of-the-art spiking neuron models and dynamic synchronization as a tentative solution of the binding problem. The book further discusses the possible role of adult neurogenesis for recruitment. These recent developments put the theory of recruitment learning at the forefront of research on biologically inspired memory models and make the book an important and timely contribution to the field.
Book Synopsis Computational Intelligence in Expensive Optimization Problems by : Yoel Tenne
Download or read book Computational Intelligence in Expensive Optimization Problems written by Yoel Tenne and published by Springer Science & Business Media. This book was released on 2010-03-10 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges include limited computational resource for simulation runs, complicated response surface of the simulation inputs-outputs, and etc. Under such difficulties, classical optimization and analysis methods may perform poorly. This motivates the application of computational intelligence methods such as evolutionary algorithms, neural networks and fuzzy logic, which often perform well in such settings. This is the first book to introduce the emerging field of computational intelligence in expensive optimization problems. Topics covered include: dedicated implementations of evolutionary algorithms, neural networks and fuzzy logic. reduction of expensive evaluations (modelling, variable-fidelity, fitness inheritance), frameworks for optimization (model management, complexity control, model selection), parallelization of algorithms (implementation issues on clusters, grids, parallel machines), incorporation of expert systems and human-system interface, single and multiobjective algorithms, data mining and statistical analysis, analysis of real-world cases (such as multidisciplinary design optimization). The edited book provides both theoretical treatments and real-world insights gained by experience, all contributed by leading researchers in the respective fields. As such, it is a comprehensive reference for researchers, practitioners, and advanced-level students interested in both the theory and practice of using computational intelligence for expensive optimization problems.