{"product_id":"computational-intelligence-isbn-9781118337844","title":"Computational Intelligence","description":"\u003cp\u003e\u003ci\u003eComputational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eKey features:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eCovers all the aspects of fuzzy, neural and evolutionary approaches with worked out examples, MATLAB® exercises and applications in each chapter\u003c\/li\u003e \u003cli\u003ePresents the synergies of technologies of computational intelligence such as evolutionary fuzzy neural fuzzy and evolutionary neural systems\u003c\/li\u003e \u003cli\u003eConsiders real world problems in the domain of systems modelling, control and optimization\u003c\/li\u003e \u003cli\u003eContains a foreword written by Lotfi Zadeh\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eComputational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing\u003c\/i\u003e is an ideal text for final year undergraduate, postgraduate and research students in electrical, control, computer, industrial and manufacturing engineering.\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eForeword xiii\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePreface xv\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAcknowledgements xix\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction to Computational Intelligence 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Computational Intelligence 1\u003c\/p\u003e \u003cp\u003e1.2 Paradigms of Computational Intelligence 2\u003c\/p\u003e \u003cp\u003e1.3 Approaches to Computational Intelligence 3\u003c\/p\u003e \u003cp\u003e1.4 Synergies of Computational Intelligence Techniques 11\u003c\/p\u003e \u003cp\u003e1.5 Applications of Computational Intelligence 12\u003c\/p\u003e \u003cp\u003e1.6 Grand Challenges of Computational Intelligence 13\u003c\/p\u003e \u003cp\u003e1.7 Overview of the Book 13\u003c\/p\u003e \u003cp\u003e1.8 MATLAB R _ Basics 14\u003c\/p\u003e \u003cp\u003eReferences 15\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Introduction to Fuzzy Logic 19\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 19\u003c\/p\u003e \u003cp\u003e2.2 Fuzzy Logic 20\u003c\/p\u003e \u003cp\u003e2.3 Fuzzy Sets 21\u003c\/p\u003e \u003cp\u003e2.4 Membership Functions 22\u003c\/p\u003e \u003cp\u003e2.5 Features of MFs 27\u003c\/p\u003e \u003cp\u003e2.6 Operations on Fuzzy Sets 29\u003c\/p\u003e \u003cp\u003e2.7 Linguistic Variables 33\u003c\/p\u003e \u003cp\u003e2.8 Linguistic Hedges 35\u003c\/p\u003e \u003cp\u003e2.9 Fuzzy Relations 37\u003c\/p\u003e \u003cp\u003e2.10 Fuzzy If–Then Rules 39\u003c\/p\u003e \u003cp\u003e2.11 Fuzzification 43\u003c\/p\u003e \u003cp\u003e2.12 Defuzzification 44\u003c\/p\u003e \u003cp\u003e2.13 Inference Mechanism 48\u003c\/p\u003e \u003cp\u003e2.14 Worked Examples 54\u003c\/p\u003e \u003cp\u003e2.15 MATLAB R _ Programs 61\u003c\/p\u003e \u003cp\u003eReferences 61\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Fuzzy Systems and Applications 65\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 65\u003c\/p\u003e \u003cp\u003e3.2 Fuzzy System 66\u003c\/p\u003e \u003cp\u003e3.3 Fuzzy Modelling 67\u003c\/p\u003e \u003cp\u003e3.4 Fuzzy Control 75\u003c\/p\u003e \u003cp\u003e3.5 Design of Fuzzy Controller 81\u003c\/p\u003e \u003cp\u003e3.6 Modular Fuzzy Controller 97\u003c\/p\u003e \u003cp\u003e3.7 MATLAB R _ Programs 99\u003c\/p\u003e \u003cp\u003eReferences 100\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Neural Networks 103\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 103\u003c\/p\u003e \u003cp\u003e4.2 Artificial Neuron Model 106\u003c\/p\u003e \u003cp\u003e4.3 Activation Functions 107\u003c\/p\u003e \u003cp\u003e4.4 Network Architecture 108\u003c\/p\u003e \u003cp\u003e4.5 Learning in Neural Networks 124\u003c\/p\u003e \u003cp\u003e4.6 Recurrent Neural Networks 149\u003c\/p\u003e \u003cp\u003e4.7 MATLAB R _ Programs 155\u003c\/p\u003e \u003cp\u003eReferences 156\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Neural Systems and Applications 159\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 159\u003c\/p\u003e \u003cp\u003e5.2 System Identification and Control 160\u003c\/p\u003e \u003cp\u003e5.3 Neural Networks for Control 163\u003c\/p\u003e \u003cp\u003e5.4 MATLAB R _ Programs 179\u003c\/p\u003e \u003cp\u003eReferences 180\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Evolutionary Computing 183\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 183\u003c\/p\u003e \u003cp\u003e6.2 Evolutionary Computing 183\u003c\/p\u003e \u003cp\u003e6.3 Terminologies of Evolutionary Computing 185\u003c\/p\u003e \u003cp\u003e6.4 Genetic Operators 194\u003c\/p\u003e \u003cp\u003e6.5 Performance Measures of EA 208\u003c\/p\u003e \u003cp\u003e6.6 Evolutionary Algorithms 209\u003c\/p\u003e \u003cp\u003e6.7 MATLAB R _ Programs 234\u003c\/p\u003e \u003cp\u003eReferences 235\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Evolutionary Systems 239\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 239\u003c\/p\u003e \u003cp\u003e7.2 Multi-objective Optimization 243\u003c\/p\u003e \u003cp\u003e7.3 Co-evolution 250\u003c\/p\u003e \u003cp\u003e7.4 Parallel Evolutionary Algorithm 256\u003c\/p\u003e \u003cp\u003eReferences 262\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Evolutionary Fuzzy Systems 265\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 265\u003c\/p\u003e \u003cp\u003e8.2 Evolutionary Adaptive Fuzzy Systems 267\u003c\/p\u003e \u003cp\u003e8.3 Objective Functions and Evaluation 287\u003c\/p\u003e \u003cp\u003e8.4 Fuzzy Adaptive Evolutionary Algorithms 290\u003c\/p\u003e \u003cp\u003eReferences 303\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Evolutionary Neural Networks 307\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 307\u003c\/p\u003e \u003cp\u003e9.2 Supportive Combinations 309\u003c\/p\u003e \u003cp\u003e9.3 Collaborative Combinations 318\u003c\/p\u003e \u003cp\u003e9.4 Amalgamated Combination 343\u003c\/p\u003e \u003cp\u003e9.5 Competing Conventions 345\u003c\/p\u003e \u003cp\u003eReferences 351\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Neural Fuzzy Systems 357\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 357\u003c\/p\u003e \u003cp\u003e10.2 Combination of Neural and Fuzzy Systems 359\u003c\/p\u003e \u003cp\u003e10.3 Cooperative Neuro-Fuzzy Systems 360\u003c\/p\u003e \u003cp\u003e10.4 Concurrent Neuro-Fuzzy Systems 369\u003c\/p\u003e \u003cp\u003e10.5 Hybrid Neuro-Fuzzy Systems 369\u003c\/p\u003e \u003cp\u003e10.6 Adaptive Neuro-Fuzzy System 404\u003c\/p\u003e \u003cp\u003e10.7 Fuzzy Neurons 409\u003c\/p\u003e \u003cp\u003e10.8 MATLAB R _ Programs 411\u003c\/p\u003e \u003cp\u003eReferences 412\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix A: MATLAB\u003c\/b\u003e \u003cb\u003eR\u003c\/b\u003e _ \u003cb\u003eBasics 415\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix B: MATLAB\u003c\/b\u003e \u003cb\u003eR\u003c\/b\u003e _ \u003cb\u003ePrograms for Fuzzy Logic 433\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix C: MATLAB\u003c\/b\u003e \u003cb\u003eR\u003c\/b\u003e _ \u003cb\u003ePrograms for Fuzzy Systems 443\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix D: MATLAB\u003c\/b\u003e \u003cb\u003eR\u003c\/b\u003e _ \u003cb\u003ePrograms for Neural Systems 461\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix E: MATLAB\u003c\/b\u003e \u003cb\u003eR\u003c\/b\u003e _ \u003cb\u003ePrograms for Neural Control Design 473\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix F: MATLAB\u003c\/b\u003e \u003cb\u003eR\u003c\/b\u003e _ \u003cb\u003ePrograms for Evolutionary Algorithms 489\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix G: MATLAB\u003c\/b\u003e \u003cb\u003eR\u003c\/b\u003e _ \u003cb\u003ePrograms for Neuro-Fuzzy Systems 497\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex 507\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eNazmul Siddique\u003c\/b\u003e is a lecturer in the School of Computing and Intelligent Systems at the University of Ulster. He has published over 120 scientific research papers in journals and conferences including seven book chapters and two books. He is a senior member of the IEEE and has been involved in organising many international conferences. He is on the editorial board of the \u003ci\u003eInternational Journal of Neural Systems\u003c\/i\u003e, \u003ci\u003eInternational Journal of Automation and Control Engineering\u003c\/i\u003e, \u003ci\u003eJournal of Behavioural Robotics\u003c\/i\u003e, and \u003ci\u003eEngineering Letters\u003c\/i\u003e.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eHojjat Adeli\u003c\/b\u003e is the holder of Abba G. Lichtenstein Professorship at The Ohio State University (OSU). He is the Editor-in-Chief of three journals: \u003ci\u003eComputer-Aided Civil and Infrastructure Engineering\u003c\/i\u003e, \u003ci\u003eIntegrated Computer-Aided Engineering\u003c\/i\u003e, and\u003ci\u003e International Journal of Neural Systems\u003c\/i\u003e. He has authored over 500 publications including 14 books and has won numerous awards. He is a Distinguished Member of ASCE, a Fellow of AAAS and IEEE. In April 2010 he was profiled as an engineering legend in the journal \u003ci\u003eLeadership and Management in Engineering\u003c\/i\u003e.\u003c\/p\u003e  \u003cp\u003e\u003ci\u003eComputational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eKey features:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eCovers all the aspects of fuzzy, neural and evolutionary approaches with worked out examples, MATLAB® exercises and applications in each chapter\u003c\/li\u003e \u003cli\u003ePresents the synergies of technologies of computational intelligence such as evolutionary fuzzy neural fuzzy and evolutionary neural systems\u003c\/li\u003e \u003cli\u003eConsiders real world problems in the domain of systems modelling, control and optimization\u003c\/li\u003e \u003cli\u003eContains a foreword written by Lotfi Zadeh\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eComputational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing\u003c\/i\u003e is an ideal text for final year undergraduate, postgraduate and research students in electrical, control, computer, industrial and manufacturing engineering.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988966097125,"sku":"NP9781118337844","price":155.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118337844.jpg?v=1761782241","url":"https:\/\/k12savings.com\/es\/products\/computational-intelligence-isbn-9781118337844","provider":"K12savings","version":"1.0","type":"link"}