Deep Neural Networks WASD Neuronet Models, Algorithms, and Applications

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Synopsis

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

Book details

Series:
Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Author:
Yunong Zhang, Dechao Chen, Chengxu Ye
ISBN:
9780429760990
Related ISBNs:
9780429426445, 9781138387034, 9781138387034
Publisher:
CRC Press
Pages:
340
Reading age:
Not specified
Includes images:
No
Date of addition:
2020-03-22
Usage restrictions:
Copyright
Copyright date:
2019
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Business and Finance, Computers and Internet, Mathematics and Statistics, Nonfiction