Rajasekaran S., Pai G. Neural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications

PHI Learning Pvt. Ltd., 2017. 572 p.
The second edition of this book provides a comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence, which in recent years, has turned synonymous to it. The constituent technologies discussed comprise neural network (NN), fuzzy system (FS), evolutionary algorithm (EA), and a number of hybrid systems, which include classes such as neuro-fuzzy, evolutionary-fuzzy, and neuro-evolutionary systems. The hybridization of the technologies is demonstrated on architectures such as fuzzy backpropagation network (NN-FS hybrid), genetic algorithm-based backpropagation network (NN-EA hybrid), simplified fuzzy ARTMAP (NN-FS hybrid), fuzzy associative memory (NN-FS hybrid), fuzzy logic controlled genetic algorithm (EA-FS hybrid) and evolutionary extreme learning machine (NN-EA hybrid). Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering.1. Introduction to artificial intelligence systems
Part 1 Neural networks
2. Fundamentals of neural networks
3. Backpropagation networks
4. Associative memory
5. Adaptive resonance theory
6. Extreme learning machine
Part 2 Fuzzy systems
7. Fuzzy set theory
8. Fuzzy logic and inference
9. Type-2 fuzzy sets
10. Fundamentals of genetic algorithms
Part 3 Evolutionary algorithms
10. Fundamentals of genetic algorithms
11. Genetic modelling
12. Evolution strategies
13. Differential evolution
Part 4 Hybrid systems
14. Integration of neural networks, fuzzy set
theories and evolutionary algorithms
15. Genetic algorithm based backpropagation
networks
16. Fuzzy backpropagation networks
17. Simplified fuzzy artmap
18. Fuzzy associative memories
19. Fuzzy logic controlled genetic algorithms