Neural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications
Material type: TextPublication details: PHI Learning New Delhi 2024Edition: 2nd EdDescription: 552pISBN:- 9788120353343
- 006.3 RAJ/N
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Reference | IIIT Kottayam Central Library Reference | 006.3 RAJ/N (Browse shelf(Opens below)) | Not For Loan | 2402 | ||||
Books | IIIT Kottayam Central Library General Stacks | 006.3 RAJ/N;1 (Browse shelf(Opens below)) | 1 | Checked out to ARITRA CHAKRABORTY (2024BCY0022) | 07/02/2025 | 2403 |
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
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