000			01286nam a22001817a 4500
020			_a9788120353343
082			_a006.3 _bRAJ/N
100			_aRajasekaran S
100			_aPai Vijayalakshmi G A
245			_aNeural Networks, Fuzzy Systems and Evolutionary Algorithms: _bSynthesis and Applications
250			_a2nd Ed.
260			_aPHI Learning _bNew Delhi _c2024
300			_a552p.
505			_a1. 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
650			_aNeural Networks
650			_aFuzzy Systems
942			_cBK
999			_c2419 _d2419