Designs, constructs, develops, analyzes, simulates and compares various WASD neuronet models, such as sing
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The book is appealing for graduate students as well as academic and industrial researchers. Based on the comprehensive and systematic research of artificial neural network, especially conventional artificial neural network, the book solves the difficult problem of WASD (weights and structure determination). The book may generate curiosity and also happiness to its readers for learning more in the fields and the researches.
- Professor Jinde Cao, Southeast University, Nanjing, China
Table of Contents
I Single-Input-Single-Output Neuronet
1 Single-Input Euler-PolynomialWASD Neuronet
2 Single-Input Bernoulli-PolynomialWASD Neuronet
3 Single-Input Laguerre-PolynomialWASD Neuronet
II Two-Input-Single-Output Neuronet
4 Two-Input Legendre-PolynomialWASD Neuronet
5 Two-Input Chebyshev-Polynomial-of-Class-1WASD Neuronet
6 Two-Input Chebyshev-Polynomial-of-Class-2WASD Neuronet
III Three-Input-Single-Output Neuronet
7 Three-Input Euler-PolynomialWASD Neuronet
8 Three-Input Power-ActivationWASD Neuronet
IV General Multi-Input Neuronet
9 Multi-Input Euler-PolynomialWASD Neuronet
10 Multi-Input Bernoulli-PolynomialWASD Neuronet
11 Multi-Input Hermite-PolynomialWASD Neuronet
12 Multi-Input Sine-ActivationWASD Neuronet
V Population Applications Using Chebyshev-Activation Neuronet
13 Application to Asian Population Prediction
14 Application to European Population Prediction
15 Application to Oceania Population Prediction
16 Application to Northern American Population Prediction
17 Application to Indian Subcontinent Population Prediction
18 Application toWorld Population Prediction
VI Population Applications Using Power-Activation Neuronet
19 Application to Russian Population Prediction
20 WASD Neuronet versus BP Neuronet Applied to Russia Population Prediction
21 Application to Chinese Population Prediction
22 WASD Neuronet versus BP Neuronet Applied to Chinese Population Prediction
VII Other Applications
23 Application to USPD Prediction
24 Application to Time Series Prediction
25 Application to GFR Estimation
