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Computational intelligence [[electronic resource] ] : synergies of fuzzy logic, neural networks and evolutionary computing / / Nazmul Siddique, Hojjat Adeli
Computational intelligence [[electronic resource] ] : synergies of fuzzy logic, neural networks and evolutionary computing / / Nazmul Siddique, Hojjat Adeli
Autore Siddique N. H
Edizione [1st edition]
Pubbl/distr/stampa Chichester [England], : John Wiley & Sons Inc., 2013
Descrizione fisica 1 online resource (534 p.)
Disciplina 006.3
Altri autori (Persone) AdeliHojjat <1950->
Soggetto topico Computational intelligence
ISBN 1-118-53482-4
1-118-53481-6
1-299-40270-4
1-118-53480-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto COMPUTATIONAL INTELLIGENCE: SYNERGIES OF FUZZY LOGIC, NEURAL NETWORKS AND EVOLUTIONARY COMPUTING; Contents; Foreword; Preface; Acknowledgements; 1 Introduction to Computational Intelligence; 1.1 Computational Intelligence; 1.2 Paradigms of Computational Intelligence; 1.3 Approaches to Computational Intelligence; 1.3.1 Fuzzy Logic; 1.3.2 Neural Networks; 1.3.3 Evolutionary Computing; 1.3.4 Learning Theory; 1.3.5 Probabilistic Methods; 1.3.6 Swarm Intelligence; 1.4 Synergies of Computational Intelligence Techniques; 1.5 Applications of Computational Intelligence
1.6 Grand Challenges of Computational Intelligence1.7 Overview of the Book; 1.8 MATLAB® Basics; References; 2 Introduction to Fuzzy Logic; 2.1 Introduction; 2.2 Fuzzy Logic; 2.3 Fuzzy Sets; 2.4 Membership Functions; 2.4.1 Triangular MF; 2.4.2 Trapezoidal MF; 2.4.3 Gaussian MF; 2.4.4 Bell-shaped MF; 2.4.5 Sigmoidal MF; 2.5 Features of MFs; 2.5.1 Support; 2.5.2 Core; 2.5.3 Fuzzy Singleton; 2.5.4 Crossover Point; 2.6 Operations on Fuzzy Sets; 2.7 Linguistic Variables; 2.7.1 Features of Linguistic Variables; 2.8 Linguistic Hedges; 2.9 Fuzzy Relations; 2.9.1 Compositional Rule of Inference
2.10 Fuzzy If-Then Rules2.10.1 Rule Forms; 2.10.2 Compound Rules; 2.10.3 Aggregation of Rules; 2.11 Fuzzification; 2.12 Defuzzification; 2.13 Inference Mechanism; 2.13.1 Mamdani Fuzzy Inference; 2.13.2 Sugeno Fuzzy Inference; 2.13.3 Tsukamoto Fuzzy Inference; 2.14 Worked Examples; 2.15 MATLAB® Programs; References; 3 Fuzzy Systems and Applications; 3.1 Introduction; 3.2 Fuzzy System; 3.3 Fuzzy Modelling; 3.3.1 Structure Identification; 3.3.2 Parameter Identification; 3.3.3 Construction of Parameterized Membership Functions; 3.4 Fuzzy Control; 3.4.1 Fuzzification; 3.4.2 Inference Mechanism
3.4.3 Rule Base3.4.4 Defuzzification; 3.5 Design of Fuzzy Controller; 3.5.1 Input/Output Selection; 3.5.2 Choice of Membership Functions; 3.5.3 Creation of Rule Base; 3.5.4 Types of Fuzzy Controller; 3.6 Modular Fuzzy Controller; 3.7 MATLAB® Programs; References; 4 Neural Networks; 4.1 Introduction; 4.2 Artificial Neuron Model; 4.3 Activation Functions; 4.4 Network Architecture; 4.4.1 Feedforward Networks; 4.5 Learning in Neural Networks; 4.5.1 Supervised Learning; 4.5.2 Unsupervised Learning; 4.6 Recurrent Neural Networks; 4.6.1 Elman Networks; 4.6.2 Jordan Networks; 4.6.3 Hopfield Networks
4.7 MATLAB® ProgramsReferences; 5 Neural Systems and Applications; 5.1 Introduction; 5.2 System Identification and Control; 5.2.1 System Description; 5.2.2 System Identification; 5.2.3 System Control; 5.3 Neural Networks for Control; 5.3.1 System Identification for Control Design; 5.3.2 Neural Networks for Control Design; 5.4 MATLAB® Programs; References; 6 Evolutionary Computing; 6.1 Introduction; 6.2 Evolutionary Computing; 6.3 Terminologies of Evolutionary Computing; 6.3.1 Chromosome Representation; 6.3.2 Encoding Schemes; 6.3.3 Population; 6.3.4 Evaluation (or Fitness) Functions
6.3.5 Fitness Scaling
Record Nr. UNINA-9910139049903321
Siddique N. H  
Chichester [England], : John Wiley & Sons Inc., 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational intelligence : synergies of fuzzy logic, neural networks and evolutionary computing / / Nazmul Siddique, Hojjat Adeli
Computational intelligence : synergies of fuzzy logic, neural networks and evolutionary computing / / Nazmul Siddique, Hojjat Adeli
Autore Siddique N. H
Edizione [1st edition]
Pubbl/distr/stampa Chichester [England], : John Wiley & Sons Inc., 2013
Descrizione fisica 1 online resource (534 p.)
Disciplina 006.3
Altri autori (Persone) AdeliHojjat <1950->
Soggetto topico Computational intelligence
ISBN 9781118534823
1118534824
9781118534816
1118534816
9781299402706
1299402704
9781118534809
1118534808
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto COMPUTATIONAL INTELLIGENCE: SYNERGIES OF FUZZY LOGIC, NEURAL NETWORKS AND EVOLUTIONARY COMPUTING; Contents; Foreword; Preface; Acknowledgements; 1 Introduction to Computational Intelligence; 1.1 Computational Intelligence; 1.2 Paradigms of Computational Intelligence; 1.3 Approaches to Computational Intelligence; 1.3.1 Fuzzy Logic; 1.3.2 Neural Networks; 1.3.3 Evolutionary Computing; 1.3.4 Learning Theory; 1.3.5 Probabilistic Methods; 1.3.6 Swarm Intelligence; 1.4 Synergies of Computational Intelligence Techniques; 1.5 Applications of Computational Intelligence
1.6 Grand Challenges of Computational Intelligence1.7 Overview of the Book; 1.8 MATLAB® Basics; References; 2 Introduction to Fuzzy Logic; 2.1 Introduction; 2.2 Fuzzy Logic; 2.3 Fuzzy Sets; 2.4 Membership Functions; 2.4.1 Triangular MF; 2.4.2 Trapezoidal MF; 2.4.3 Gaussian MF; 2.4.4 Bell-shaped MF; 2.4.5 Sigmoidal MF; 2.5 Features of MFs; 2.5.1 Support; 2.5.2 Core; 2.5.3 Fuzzy Singleton; 2.5.4 Crossover Point; 2.6 Operations on Fuzzy Sets; 2.7 Linguistic Variables; 2.7.1 Features of Linguistic Variables; 2.8 Linguistic Hedges; 2.9 Fuzzy Relations; 2.9.1 Compositional Rule of Inference
2.10 Fuzzy If-Then Rules2.10.1 Rule Forms; 2.10.2 Compound Rules; 2.10.3 Aggregation of Rules; 2.11 Fuzzification; 2.12 Defuzzification; 2.13 Inference Mechanism; 2.13.1 Mamdani Fuzzy Inference; 2.13.2 Sugeno Fuzzy Inference; 2.13.3 Tsukamoto Fuzzy Inference; 2.14 Worked Examples; 2.15 MATLAB® Programs; References; 3 Fuzzy Systems and Applications; 3.1 Introduction; 3.2 Fuzzy System; 3.3 Fuzzy Modelling; 3.3.1 Structure Identification; 3.3.2 Parameter Identification; 3.3.3 Construction of Parameterized Membership Functions; 3.4 Fuzzy Control; 3.4.1 Fuzzification; 3.4.2 Inference Mechanism
3.4.3 Rule Base3.4.4 Defuzzification; 3.5 Design of Fuzzy Controller; 3.5.1 Input/Output Selection; 3.5.2 Choice of Membership Functions; 3.5.3 Creation of Rule Base; 3.5.4 Types of Fuzzy Controller; 3.6 Modular Fuzzy Controller; 3.7 MATLAB® Programs; References; 4 Neural Networks; 4.1 Introduction; 4.2 Artificial Neuron Model; 4.3 Activation Functions; 4.4 Network Architecture; 4.4.1 Feedforward Networks; 4.5 Learning in Neural Networks; 4.5.1 Supervised Learning; 4.5.2 Unsupervised Learning; 4.6 Recurrent Neural Networks; 4.6.1 Elman Networks; 4.6.2 Jordan Networks; 4.6.3 Hopfield Networks
4.7 MATLAB® ProgramsReferences; 5 Neural Systems and Applications; 5.1 Introduction; 5.2 System Identification and Control; 5.2.1 System Description; 5.2.2 System Identification; 5.2.3 System Control; 5.3 Neural Networks for Control; 5.3.1 System Identification for Control Design; 5.3.2 Neural Networks for Control Design; 5.4 MATLAB® Programs; References; 6 Evolutionary Computing; 6.1 Introduction; 6.2 Evolutionary Computing; 6.3 Terminologies of Evolutionary Computing; 6.3.1 Chromosome Representation; 6.3.2 Encoding Schemes; 6.3.3 Population; 6.3.4 Evaluation (or Fitness) Functions
6.3.5 Fitness Scaling
Record Nr. UNINA-9910828270703321
Siddique N. H  
Chichester [England], : John Wiley & Sons Inc., 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui