Handbook of Neural Network Signal ProcessingYu Hen Hu, Jenq-Neng Hwang CRC Press, 3 ต.ค. 2018 - 408 หน้า The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together applications that were previously scattered among various publications to provide an up-to-date, detailed treatment of the subject from an engineering point of view. |
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2 Signal Processing Using the Multilayer Perceptron | 2-1 |
3 Radial Basis Functions | 3-1 |
4 An Introduction to KernelBased Learning Algorithms | 4-1 |
5 Committee Machines | 5-1 |
6 Dynamic Neural Networks and Optimal Signal Processing | 6-1 |
7 Blind Signal Separation and Blind Deconvolution | 7-1 |
8 Neural Networks and Principal Component Analysis | 8-1 |
9 Applications of Artificial Neural Networks to Time Series Prediction | 9-1 |
10 Applications of Artificial Neural Networks ANNs to Speech Processing | 10-1 |
11 Learning and Adaptive Characterization of Visual Contents in Image Retrieval Systems | 11-1 |
12 Applications of Neural Networks to Biomedical Image Processing | 12-1 |
13 Hierarchical Fuzzy Neural Networks for Pattern Classification | 13-1 |
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Back Cover | 1-16 |