Computational Intelligence Paradigms

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Computational Intelligence Paradigms

Author : S. Sumathi
Publisher : CRC Press
ISBN 13 : 9781439809037
Total Pages : 851 pages
Book Rating : 4.8/5 (9 download)

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Book Synopsis Computational Intelligence Paradigms by : S. Sumathi

Download or read book Computational Intelligence Paradigms written by S. Sumathi and published by CRC Press. This book was released on 2010-01-05 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering a wide range of programming examples implemented in MATLAB®, Computational Intelligence Paradigms: Theory and Applications Using MATLAB® presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous intelligent computing methodologies and algorithms used in CI research. The book first focuses on neural networks, including common artificial neural networks; neural networks based on data classification, data association, and data conceptualization; and real-world applications of neural networks. It then discusses fuzzy sets, fuzzy rules, applications of fuzzy systems, and different types of fused neuro-fuzzy systems, before providing MATLAB illustrations of ANFIS, classification and regression trees, fuzzy c-means clustering algorithms, fuzzy ART map, and Takagi–Sugeno inference systems. The authors also describe the history, advantages, and disadvantages of evolutionary computation and include solved MATLAB programs to illustrate the implementation of evolutionary computation in various problems. After exploring the operators and parameters of genetic algorithms, they cover the steps and MATLAB routines of genetic programming. The final chapter introduces swarm intelligence and its applications, particle swarm optimization, and ant colony optimization. Full of worked examples and end-of-chapter questions, this comprehensive book explains how to use MATLAB to implement CI techniques for the solution of biological problems. It will help readers with their work on evolution dynamics, self-organization, natural and artificial morphogenesis, emergent collective behaviors, swarm intelligence, evolutionary strategies, genetic programming, and the evolution of social behaviors.

Computational Intelligence and Data Sciences

Author : Ayodeji Olalekan Salau
Publisher : CRC Press
ISBN 13 : 1000541754
Total Pages : 272 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Computational Intelligence and Data Sciences by : Ayodeji Olalekan Salau

Download or read book Computational Intelligence and Data Sciences written by Ayodeji Olalekan Salau and published by CRC Press. This book was released on 2022-03-11 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents futuristic trends in computational intelligence including algorithms as applicable to different application domains in health informatics covering bio-medical, bioinformatics, and biological sciences. Latest evolutionary approaches to solve optimization problems under biomedical engineering field are discussed. It provides conceptual framework with a focus on application of computational intelligence techniques in the domain of biomedical engineering and health informatics including real-time issues.

Paradigms of Artificial Intelligence

Author : Achim G. Hoffmann
Publisher : Springer Science & Business Media
ISBN 13 : 9789813083974
Total Pages : 350 pages
Book Rating : 4.0/5 (839 download)

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Book Synopsis Paradigms of Artificial Intelligence by : Achim G. Hoffmann

Download or read book Paradigms of Artificial Intelligence written by Achim G. Hoffmann and published by Springer Science & Business Media. This book was released on 1998-09 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a new methodological analysis of two competing research paradigms of artificial intelligence and cognitive science-the symbolic versus the connectionist paradigms. Providing an accessible introduction to the fundamentals of both paradigms, the book derives new objectives for future research that will help to integrate aspects of both areas to obtain more powerful AI techniques and to promote a deeper understanding of cognition.

Computational Intelligence Paradigms

Author : S.. PANEERSELVAM SUMATHI (SUREKHA.)
Publisher : CRC Press
ISBN 13 : 9780367384555
Total Pages : 851 pages
Book Rating : 4.3/5 (845 download)

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Book Synopsis Computational Intelligence Paradigms by : S.. PANEERSELVAM SUMATHI (SUREKHA.)

Download or read book Computational Intelligence Paradigms written by S.. PANEERSELVAM SUMATHI (SUREKHA.) and published by CRC Press. This book was released on 2019-08-30 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering a wide range of programming examples implemented in MATLAB(R), Computational Intelligence Paradigms: Theory and Applications Using MATLAB(R) presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous intelligent computing methodologies and algorithms used in CI research. The book first focuses on neural networks, including common artificial neural networks; neural networks based on data classification, data association, and data conceptualization; and real-world applications of neural networks. It then discusses fuzzy sets, fuzzy rules, applications of fuzzy systems, and different types of fused neuro-fuzzy systems, before providing MATLAB illustrations of ANFIS, classification and regression trees, fuzzy c-means clustering algorithms, fuzzy ART map, and Takagi-Sugeno inference systems. The authors also describe the history, advantages, and disadvantages of evolutionary computation and include solved MATLAB programs to illustrate the implementation of evolutionary computation in various problems. After exploring the operators and parameters of genetic algorithms, they cover the steps and MATLAB routines of genetic programming. The final chapter introduces swarm intelligence and its applications, particle swarm optimization, and ant colony optimization. Full of worked examples and end-of-chapter questions, this comprehensive book explains how to use MATLAB to implement CI techniques for the solution of biological problems. It will help readers with their work on evolution dynamics, self-organization, natural and artificial morphogenesis, emergent collective behaviors, swarm intelligence, evolutionary strategies, genetic programming, and the evolution of social behaviors.

Computational Intelligence

Author : Andries P. Engelbrecht
Publisher : John Wiley & Sons
ISBN 13 : 9780470512500
Total Pages : 628 pages
Book Rating : 4.5/5 (125 download)

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Book Synopsis Computational Intelligence by : Andries P. Engelbrecht

Download or read book Computational Intelligence written by Andries P. Engelbrecht and published by John Wiley & Sons. This book was released on 2007-10-22 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. Engelbrecht provides readers with a wide knowledge of Computational Intelligence (CI) paradigms and algorithms; inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without any difficulty through a single Java class as part of the CI library. Key features of this second edition include: A tutorial, hands-on based presentation of the material. State-of-the-art coverage of the most recent developments in computational intelligence with more elaborate discussions on intelligence and artificial intelligence (AI). New discussion of Darwinian evolution versus Lamarckian evolution, also including swarm robotics, hybrid systems and artificial immune systems. A section on how to perform empirical studies; topics including statistical analysis of stochastic algorithms, and an open source library of CI algorithms. Tables, illustrations, graphs, examples, assignments, Java code implementing the algorithms, and a complete CI implementation and experimental framework. Computational Intelligence: An Introduction, Second Edition is essential reading for third and fourth year undergraduate and postgraduate students studying CI. The first edition has been prescribed by a number of overseas universities and is thus a valuable teaching tool. In addition, it will also be a useful resource for researchers in Computational Intelligence and Artificial Intelligence, as well as engineers, statisticians, operational researchers, and bioinformaticians with an interest in applying AI or CI to solve problems in their domains. Check out http://www.ci.cs.up.ac.za for examples, assignments and Java code implementing the algorithms.

Edge Computing and Computational Intelligence Paradigms for the IoT

Author : Nagarajan, G.
Publisher : IGI Global
ISBN 13 : 1522585575
Total Pages : 347 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Edge Computing and Computational Intelligence Paradigms for the IoT by : Nagarajan, G.

Download or read book Edge Computing and Computational Intelligence Paradigms for the IoT written by Nagarajan, G. and published by IGI Global. This book was released on 2019-06-14 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edge computing is focused on devices and technologies that are attached to the internet of things (IoT). Identifying IoT use across a range of industries and measuring strategic values helps identify what technologies to pursue and can avoid wasted resources on deployments with limited values. Edge Computing and Computational Intelligence Paradigms for the IoT is a critical research book that provides a complete insight on the recent advancements and integration of intelligence in IoT. This book highlights various topics such as disaster prediction, governance, and healthcare. It is an excellent resource for researchers, working professionals, academicians, policymakers, and defense companies.

Computational Intelligence Paradigms

Author : L. C. Jain
Publisher : Springer Science & Business Media
ISBN 13 : 3540794735
Total Pages : 281 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Intelligence Paradigms by : L. C. Jain

Download or read book Computational Intelligence Paradigms written by L. C. Jain and published by Springer Science & Business Media. This book was released on 2008-06-12 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features research on the innovative applications of advanced computational intelligence paradigms. Coverage includes architectures of computational intelligence paradigms, knowledge discovery, pattern classification, and gene linkage analysis.

Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK®

Author : S. Sumathi
Publisher : CRC Press
ISBN 13 : 1498743722
Total Pages : 731 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK® by : S. Sumathi

Download or read book Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK® written by S. Sumathi and published by CRC Press. This book was released on 2018-09-03 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst multiple decision variables, complex constraints, and tumultuous environments. CI techniques involve a combination of learning, adaptation, and evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/ Simulink® explores the performance of CI in terms of knowledge representation, adaptability, optimality, and processing speed for different real-world optimization problems. Focusing on the practical implementation of CI techniques, this book: Discusses the role of CI paradigms in engineering applications such as unit commitment and economic load dispatch, harmonic reduction, load frequency control and automatic voltage regulation, job shop scheduling, multidepot vehicle routing, and digital image watermarking Explains the impact of CI on power systems, control systems, industrial automation, and image processing through the above-mentioned applications Shows how to apply CI algorithms to constraint-based optimization problems using MATLAB® m-files and Simulink® models Includes experimental analyses and results of test systems Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/ Simulink® provides a valuable reference for industry professionals and advanced undergraduate, postgraduate, and research students.

Artificial Intelligence Paradigms for Smart Cyber-Physical Systems

Author : Luhach, Ashish Kumar
Publisher : IGI Global
ISBN 13 : 1799851028
Total Pages : 392 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Artificial Intelligence Paradigms for Smart Cyber-Physical Systems by : Luhach, Ashish Kumar

Download or read book Artificial Intelligence Paradigms for Smart Cyber-Physical Systems written by Luhach, Ashish Kumar and published by IGI Global. This book was released on 2020-11-13 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-physical systems (CPS) have emerged as a unifying name for systems where cyber parts (i.e., the computing and communication parts) and physical parts are tightly integrated, both in design and during operation. Such systems use computations and communication deeply embedded in and interacting with human physical processes as well as augmenting existing and adding new capabilities. As such, CPS is an integration of computation, networking, and physical processes. Embedded computers and networks monitor and control the physical processes, with feedback loops where physical processes affect computations and vice versa. The economic and societal potential of such systems is vastly greater than what has been realized, and major investments are being made worldwide to develop the technology. Artificial Intelligence Paradigms for Smart Cyber-Physical Systems focuses on the recent advances in Artificial intelligence-based approaches towards affecting secure cyber-physical systems. This book presents investigations on state-of-the-art research issues, applications, and achievements in the field of computational intelligence paradigms for CPS. Covering topics that include autonomous systems, access control, machine learning, and intrusion detection and prevention systems, this book is ideally designed for engineers, industry professionals, practitioners, scientists, managers, students, academicians, and researchers seeking current research on artificial intelligence and cyber-physical systems.

Intelligent Computational Paradigms in Earthquake Engineering

Author : Nikos D. Lagaros
Publisher : IGI Global
ISBN 13 : 1599040999
Total Pages : 463 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Intelligent Computational Paradigms in Earthquake Engineering by : Nikos D. Lagaros

Download or read book Intelligent Computational Paradigms in Earthquake Engineering written by Nikos D. Lagaros and published by IGI Global. This book was released on 2007-01-01 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book contains contributions that cover a wide spectrum of very important real-world engineering problems, and explores the implementation of neural networks for the representation of structural responses in earthquake engineering. It assesses the efficiency of seismic design procedures and describes the latest findings in intelligent optimal control systems and their applications in structural engineering"--Provided by publisher.

Computational Intelligence: A Compendium

Author : John Fulcher
Publisher : Springer Science & Business Media
ISBN 13 : 3540782923
Total Pages : 1182 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Intelligence: A Compendium by : John Fulcher

Download or read book Computational Intelligence: A Compendium written by John Fulcher and published by Springer Science & Business Media. This book was released on 2008-06-16 with total page 1182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence: A Compendium presents a well structured overview about this rapidly growing field with contributions of leading experts in Computational Intelligence. The main focus of the compendium is on applied methods tired-and-proven effective to realworld problems, which is especially useful for practitioners, researchers, students and also newcomers to the field. The 25 chapters are grouped into the following themes: I. Overview and Background II. Data Preprocessing and Systems Integration III. Artificial Intelligence IV. Logic and Reasoning V. Ontology VI. Agents VII. Fuzzy Systems VIII. Artificial Neural Networks IX. Evolutionary Approaches X. DNA and Immune-based Computing.

Computational Intelligence

Author : Nazmul Siddique
Publisher : John Wiley & Sons
ISBN 13 : 1118534816
Total Pages : 524 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Computational Intelligence by : Nazmul Siddique

Download or read book Computational Intelligence written by Nazmul Siddique and published by John Wiley & Sons. This book was released on 2013-05-06 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionary neural systems. Applications to linear and non-linear systems are discussed with examples. Key features: Covers all the aspects of fuzzy, neural and evolutionary approaches with worked out examples, MATLAB® exercises and applications in each chapter Presents the synergies of technologies of computational intelligence such as evolutionary fuzzy neural fuzzy and evolutionary neural systems Considers real world problems in the domain of systems modelling, control and optimization Contains a foreword written by Lotfi Zadeh Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing is an ideal text for final year undergraduate, postgraduate and research students in electrical, control, computer, industrial and manufacturing engineering.

Computational Intelligence

Author : Russell C. Eberhart
Publisher : Elsevier
ISBN 13 : 0080553834
Total Pages : 496 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Computational Intelligence by : Russell C. Eberhart

Download or read book Computational Intelligence written by Russell C. Eberhart and published by Elsevier. This book was released on 2011-04-18 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence: Concepts to Implementations provides the most complete and practical coverage of computational intelligence tools and techniques to date. This book integrates various natural and engineering disciplines to establish Computational Intelligence. This is the first comprehensive textbook on the subject, supported with lots of practical examples. It asserts that computational intelligence rests on a foundation of evolutionary computation. This refreshing view has set the book apart from other books on computational intelligence. This book lays emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field. Focusing on evolutionary computation, neural networks, and fuzzy logic, the authors have constructed an approach to thinking about and working with computational intelligence that has, in their extensive experience, proved highly effective. The book moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific con. It explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation. It details the metrics and analytical tools needed to assess the performance of computational intelligence tools. The book concludes with a series of case studies that illustrate a wide range of successful applications. This book will appeal to professional and academic researchers in computational intelligence applications, tool development, and systems. Moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific concepts and paradigms that inform the authors' methodologies Explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation Details the metrics and analytical tools needed to assess the performance of computational intelligence tools Concludes with a series of case studies that illustrate a wide range of successful applications Presents code examples in C and C++ Provides, at the end of each chapter, review questions and exercises suitable for graduate students, as well as researchers and practitioners engaged in self-study

Computational Intelligence in Healthcare 4

Author : Isabelle Bichindaritz
Publisher : Springer Science & Business Media
ISBN 13 : 3642144632
Total Pages : 458 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Computational Intelligence in Healthcare 4 by : Isabelle Bichindaritz

Download or read book Computational Intelligence in Healthcare 4 written by Isabelle Bichindaritz and published by Springer Science & Business Media. This book was released on 2010-09-08 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. Computational intelligence already has a solid track-record of applications to healthcare, of which this book is a continuation. We would like to refer the reader to the excellent previous volumes in this series on computational intelligence in heal- care [1-3]. This book is aimed at providing the most recent advances and state of the art in the practical applications of computational intelligence paradigms in healthcare. It - cludes nineteen chapters on using various computational intelligence methods in healthcare such as intelligent agents and case-based reasoning. A number of fielded applications and case studies are presented. Highlighted are in particular novel c- putational approaches to the semantic management of health information such as in the Web 2.0, mobile agents such as in portable devices, learning agents capable of adapting to diverse clinical settings through case-based reasoning, and statistical - proaches in computational intelligence. This book is targeted towards scientists, application engineers, professors, health professionals, professors, and students. Background information on computational intelligence has been provided whenever necessary to facilitate the comprehension of a broad audience including healthcare practitioners.

Advanced Computational Intelligence Paradigms in Healthcare - 1

Author : Hiroyuki Yoshida
Publisher : Springer Science & Business Media
ISBN 13 : 3540475230
Total Pages : 305 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Advanced Computational Intelligence Paradigms in Healthcare - 1 by : Hiroyuki Yoshida

Download or read book Advanced Computational Intelligence Paradigms in Healthcare - 1 written by Hiroyuki Yoshida and published by Springer Science & Business Media. This book was released on 2007-02-19 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents some of the most recent research results on the applications of computational intelligence in healthcare. It is directed at computer scientists, medical practitioners, scientists, professors and students of health, science, computer science and related disciplines.

Hybrid Computational Intelligence

Author : Siddhartha Bhattacharyya
Publisher : Academic Press
ISBN 13 : 012818700X
Total Pages : 250 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Hybrid Computational Intelligence by : Siddhartha Bhattacharyya

Download or read book Hybrid Computational Intelligence written by Siddhartha Bhattacharyya and published by Academic Press. This book was released on 2020-03-05 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. Provides insights into the latest research trends in hybrid intelligent algorithms and architectures Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction Features hybrid intelligent applications in biomedical engineering and healthcare informatics

Machine Learning Paradigms

Author : Maria Virvou
Publisher : Springer
ISBN 13 : 3030137430
Total Pages : 223 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Machine Learning Paradigms by : Maria Virvou

Download or read book Machine Learning Paradigms written by Maria Virvou and published by Springer. This book was released on 2019-03-16 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’ and learners’ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including: • Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation; • Using learning analytics to predict student performance; • Using learning analytics to create learning materials and educational courses; and • Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning. The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.