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Toward Deep Neural Networks : WASD Neuronet Models, Algorithms, and Applications

By: (Author) Chengxu Ye , (Author) Dechao Chen , (Author) Yunong Zhang

Extended Catalogue

Ksh 22,500.00

Format: Hardback or Cased Book

ISBN-10: 1138387037

ISBN-13: 9781138387034

Series: Chapman & Hall/CRC Artificial Intelligence and Robotics Series

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Mar 20th, 2019

Print length: 368 Pages

Weight: 846 grams

Dimensions (height x width x thickness): 18.40 x 26.00 x 2.50 cms

Product Classification: Algorithms & data structures
Neural networks & fuzzy systems

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  • Description

  • Reviews

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.

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

    • Get Toward Deep Neural Networks by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

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