Computational Intelligence Paradigms: Theory & Applications using MATLABOffering 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 pr |
Contents
| 1 | |
Artificial Neural Networks with MATLAB | 29 |
Artificial Neural Networks Architectures and Algorithms | 69 |
Classification and Association Neural Networks | 109 |
MATLAB Programs to Implement Neural Networks | 165 |
MATLABBased Fuzzy Systems | 203 |
Fuzzy Inference and Expert Systems | 261 |
MATLAB Illustrations on Fuzzy Systems | 307 |
MATLABBased Genetic Algorithm | 547 |
Genetic Programming | 591 |
MATLABBased Swarm Intelligence | 649 |
Glossary of Terms | 693 |
List of Abbreviations | 737 |
MATLAB Toolboxes Based on CI | 741 |
Emerging Software Packages | 763 |
Research Projects | 781 |
Common terms and phrases
adaptive applications architecture array artificial neural networks basic behavior binary chromosome classification computational intelligence convergence crossover Current Population defined defuzzification delta rule disp error evaluation evolution evolutionary algorithms evolutionary computation Evolutionary Programming example fitness function fuzzy controller fuzzy logic fuzzy rules fuzzy set fuzzy systems genes genetic algorithms genetic operators Genetic Programming global hidden layer Hopfield IEEE implementation individuals initial population input layer input vector integer iterations Kohonen learning rate learning rule linear machine Mamdani MATLAB matrix membership function method mutation operator Neuro-Fuzzy neurons node objective function offspring output layer parameters params parents Particle Swarm Optimization perceptron performance plot popu processing elements random recombination representation robots rule base schema search space selection shown in Figure simulation solution solve step strategy string structure Sugeno swarm intelligence techniques tion Toolbox topology transfer function tree update variables weights zero