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020 _a9780367656492
_qpaper back
040 _cCentral Library, Khulna University
041 _2eng
082 _a006.32
_bZHT
100 _aZhang,Yunong
245 _a Toward deep neural networks :
_bWASD neuronet models, algorithms, and applications/
_cby Yunong Zhang, Dechao Chen , Chengxu Ye
250 _a1st ed.
260 _aBoca Raton:
_b Chapman & Hall/CRC,
_c 2020
300 _axxv, 341p.:
_bill.;
_c26 cm.
350 _a3618.00
440 _a Chapman & Hall/CRC artificial intelligence and robotics series
504 _aIncludes Index, bibliography and glossary
505 0 _a
_tI Single-Input-Single-Output Neuronet
505 _a1 Single-Input Euler-Polynomial WASD Neuronet
505 _a2 Single-Input Bernoulli-Polynomial WASD Neuronet
505 _a3 Single-Input Laguerre-Polynomial WASD Neuronet
505 _tII Two-Input-Single-Output Neuronet
505 _a4 Two-Input Legendre-Polynomial WASD Neuronet
505 _a5 Two-Input Chebyshev-Polynomial-of-Class-1WASD Neuronet
505 _a6 Two-Input Chebyshev-Polynomial-of-Class-2 WASD Neuronet
505 _tIII Three-Input-Single-Output Neuronet
505 _a7 Three-Input Euler-Polynomial WASD Neuronet
505 _a8 Three-Input Power-Activation WASD Neuronet
505 _tIV General Multi-Input Neuronet
505 _a 9 Multi-Input Euler-Polynomial WASD Neuronet
505 _a10 Multi-Input Bernoulli-Polynomial WASD Neuronet
505 _a11 Multi-Input Hermite-Polynomial WASD Neuronet
505 _a12 Multi-Input Sine-ActivationWASD Neuronet
505 _a
_tV Population Applications Using Chebyshev-Activation Neuronet
505 _a13 Application to Asian Population Prediction
505 _a14 Application to European Population Prediction
505 _a15 Application to Oceania Population Prediction
505 _a16 Application to Northern American Population Prediction
505 _a17 Application to Indian Subcontinent Population Prediction
505 _a18 Application to World Population Prediction
505 _tVI Population Applications Using Power-Activation Neuronet
505 _a19 Application to Russian Population Prediction
505 _a20 WASD Neuronet versus BP Neuronet Applied to Russia Population Prediction
505 _a21 Application to Chinese Population Prediction
505 _a22 WASD Neuronet versus BP Neuronet Applied to Chinese Population Prediction
505 _tVII Other Applications
505 _a23 Application to USPD Prediction
505 _a24 Application to Time Series Prediction
505 _a25 Application to GFR Estimation
520 _aThis 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.
650 _aNeural networks (Computer science)
650 _aBusiness and Economics
_xStatistics
700 _aChen,Dechao
700 _aYe, Chengxu
942 _2ddc
_n0
_cBK
999 _c8806
_d8806