Intelligent Information Processing with Matlab

Intelligent Information Processing with Matlab
Xiu Zhang, Xin Zhang and Wei Wang
Contents
1 Artiϐicial Neural Network

1. 1 Artiϐicial Neuron
2. 2 Overview of Artiϐicial Neural Network
3. 3 Backpropagation Neural Network
4. 4 Hopϐield Neural Network
5. 5 Competitive Neural Network
6. 6 Deep Neural Network
   References
   2 Convolutional Neural Network
7. 1 Overview of Convolutional Neural Network
8. 2 Neural Network Performance Evaluation
9. 3 Transfer Learning with Convolutional Neural Network
10. 4 Research Progress of Neural Network
    References
    3 Fuzzy Computing
11. 1 Overview of Fuzzy Computing
12. 2 Fuzzy Sets
13. 3 Fuzzy Pattern Recognition
14. 4 Fuzzy Clustering
15. 5 Fuzzy Inference
16. 6 Fuzzy Control System
17. 7 Fuzzy Logic Designer
    References
    4 Fuzzy Neural Network
18. 1 Overview of Fuzzy Neural Network4. 2 Adaptive Fuzzy Neural Inference System
19. 3 Time Series Prediction
20. 4 Interval Type-2 Fuzzy Logic
21. 5 Fuzzy C-means Clustering
22. 6 Suburban Commuting Prediction Problem
23. 7 Research Progress of Fuzzy Computing
    References
    5 Evolutionary Computing
24. 1 Overview of Evolutionary Computing
25. 2 Simple Genetic Algorithm
26. 3 Genetic Algorithm for Travelling Salesman Problem
27. 4 Ant Colony Optimization Algorithm
28. 5 Particle Swarm Optimization Algorithm
29. 6 Differential Evolution Algorithm
    References
    6 Testing and Evaluation of Evolutionary Computing
30. 1 Test Set of Traveling Salesman Problem
31. 2 Test Set of Continuous Optimization Problem
32. 3 Evaluation of Continuous Optimization Problems
33. 4 Artiϐicial Bee Colony Algorithm
34. 5 Fireworks Algorithm
35. 6 Research Progress of Evolutionary Computing
    References
    References
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