عنوان

Toward deep neural networks :

0429426445

0429760973

0429760981

042976099X

9780429426445

9780429760976

9780429760983

9780429760990

1138387037

9781138387034

Toward deep neural networks :

[Book]

WASD neuronet models, algorithms, and applications /

Yunong Zhang, Dechao Chen, Chengxu Ye

Boca Raton, Florida :

CRC Press,

[2019]

©2019

1 online resource (xxv, 342 pages)

Chapman & Hall/CRC artificial intelligence and robotics series

Includes bibliographical references and index

Single-input Euler-polynomial WASD neuronet -- Single-input Bernoulli-polynomial WASD neuronet -- Single-input Laguerre-polynomial WASD neuronet -- Two-input Legendre-polynomial WASD neuronet -- Two-input Chebyshev-polynomial-of-class-1 WASD neuronet -- Two-input Chebyshev-polynomial-of-class-2 WASD neuronet -- Three-input Euler-polynomial WASD neuronet -- Three-input Power-activation WASD neuronet -- Multi-input Euler-polynomial WASD neuronet -- Multi-input Bernoulli-polynomial WASD neuronet -- Multi-input Hermite-polynomial WASD neuronet -- Multi-input sine-activation WASD neuronet -- Application to Asian population prediction -- Application to European population prediction -- Application to Oceanian population prediction -- Application to Northern American population prediction -- Application to Indian subcontinent population prediction -- Application to world population prediction -- Application to Russian population prediction -- WASD neuronet versus BP neuronet applied to Russian population prediction -- Application to Chinese population prediction -- WASD neuronet versus BP neuronet applied to Chinese population prediction -- Application to USPD prediction -- Application to time series prediction -- Application to GFR estimation

0

Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications introduces the outlook and extension toward 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, and allows reader to extend the techniques in the book to solve scientific and engineering problems. The book will be of interest to engineers, senior undergraduates, postgraduates, and researchers in the fields of neuronets, computer mathematics, computer science, artificial intelligence, numerical algorithms, optimization, simulation and modeling, deep learning, and data mining. Features Focuses on neuronet models, algorithms, and applications Designs, constructs, develops, analyzes, simulates and compares various WASD neuronet models, such as single-input WASD neuronet models, two-input WASD neuronet models, three-input WASD neuronet models, and general multi-input WASD neuronet models for function data approximations Includes real-world applications, such as population prediction Provides complete mathematical foundations, such as Weierstrass approximation, Bernstein polynomial approximation, Taylor polynomial approximation, and multivariate function approximation, exploring the close integration of mathematics (i.e., function approximation theories) and computers (e.g., computer algorithms) Utilizes the authors' 20 years of research on neuronets

Ingram Content Group

9780429760983

Toward deep neural networks.

9781138387034

Neural networks (Computer science)

BUSINESS & ECONOMICS / Statistics

COMPUTERS / General

COMPUTERS / Machine Theory

Neural networks (Computer science)

BUS-- 061000

COM-- 000000

COM-- 037000

UYQ

Zhang, Yunong

Chen, Dechao

Ye, Chengxu

20200822162320.0

pn

[Book]

Y