Toward deep neural networks : WASD neuronet models, algorithms, and applications/
Zhang,Yunong
Toward deep neural networks : WASD neuronet models, algorithms, and applications/ by Yunong Zhang, Dechao Chen , Chengxu Ye - 1st ed. - Boca Raton: Chapman & Hall/CRC, 2020 - xxv, 341p.: ill.; 26 cm. - Chapman & Hall/CRC artificial intelligence and robotics series .
Includes Index, bibliography and glossary
I Single-Input-Single-Output Neuronet 1 Single-Input Euler-Polynomial WASD Neuronet
2 Single-Input Bernoulli-Polynomial WASD Neuronet
3 Single-Input Laguerre-Polynomial WASD Neuronet
II Two-Input-Single-Output Neuronet
4 Two-Input Legendre-Polynomial WASD Neuronet
5 Two-Input Chebyshev-Polynomial-of-Class-1WASD Neuronet
6 Two-Input Chebyshev-Polynomial-of-Class-2 WASD Neuronet
III Three-Input-Single-Output Neuronet
7 Three-Input Euler-Polynomial WASD Neuronet
8 Three-Input Power-Activation WASD Neuronet
IV General Multi-Input Neuronet
9 Multi-Input Euler-Polynomial WASD Neuronet
10 Multi-Input Bernoulli-Polynomial WASD Neuronet
11 Multi-Input Hermite-Polynomial WASD 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 to World 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
This book introduces deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors’ 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet.
9780367656492
Neural networks (Computer science)
Business and Economics--Statistics
006.32 / ZHT
Toward deep neural networks : WASD neuronet models, algorithms, and applications/ by Yunong Zhang, Dechao Chen , Chengxu Ye - 1st ed. - Boca Raton: Chapman & Hall/CRC, 2020 - xxv, 341p.: ill.; 26 cm. - Chapman & Hall/CRC artificial intelligence and robotics series .
Includes Index, bibliography and glossary
I Single-Input-Single-Output Neuronet 1 Single-Input Euler-Polynomial WASD Neuronet
2 Single-Input Bernoulli-Polynomial WASD Neuronet
3 Single-Input Laguerre-Polynomial WASD Neuronet
II Two-Input-Single-Output Neuronet
4 Two-Input Legendre-Polynomial WASD Neuronet
5 Two-Input Chebyshev-Polynomial-of-Class-1WASD Neuronet
6 Two-Input Chebyshev-Polynomial-of-Class-2 WASD Neuronet
III Three-Input-Single-Output Neuronet
7 Three-Input Euler-Polynomial WASD Neuronet
8 Three-Input Power-Activation WASD Neuronet
IV General Multi-Input Neuronet
9 Multi-Input Euler-Polynomial WASD Neuronet
10 Multi-Input Bernoulli-Polynomial WASD Neuronet
11 Multi-Input Hermite-Polynomial WASD 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 to World 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
This book introduces deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors’ 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet.
9780367656492
Neural networks (Computer science)
Business and Economics--Statistics
006.32 / ZHT