Appendix C: Types of Fuzzy Membership Function

Chapters in this book

1. Frontmatter I
2. Preface V
3. Contents VII
4. 1. Introduction 1
5. 2. The Fundamental Theory of Neural Network Blind Equalization Algorithm 17
6. 3. Research of Blind Equalization Algorithms Based on FFNN 51
7. 4. Research of Blind Equalization Algorithms Based on the FBNN 94
8. 5. Research of Blind Equalization Algorithms Based on FNN 124
9. 6. Blind Equalization Algorithm Based on Evolutionary Neural Network 149
10. 7. Blind equalization Algorithm Based on Wavelet Neural Network 180
11. 8. Application of Neural Network Blind Equalization Algorithm in Medical Image Processing 205
12. Appendix A: Derivation of the Hidden Layer Weight Iterative Formula in the Blind Equalization Algorithm Based on the Complex Three-Layer FFNN 229
13. Appendix B: Iterative Formulas Derivation of Complex Blind Equalization Algorithm Based on BRNN 231
14. Appendix C: Types of Fuzzy Membership Function 235
15. Appendix D: Iterative Formula Derivation of Blind Equalization Algorithm Based on DRFNN 239
16. References 243
17. Index 251