TY  - BOOK
AU  - Rajasekaran S
AU  - Pai Vijayalakshmi G A
TI  - Neural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications
SN  - 9788120353343
U1  - 006.3 
PY  - 2024///
CY  - PHI Learning
PB  - New Delhi
KW  - Neural Networks
KW  - Fuzzy Systems
N1  - 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 Inreference
9. Type-2 Fuzzy Sets
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 Logic, and Genetic 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
20. Evolutionary Extreme Learning Machine

ER  -