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Neural Networks and Learning Algorithms in MATLAB by Ardashir Mohammadazadeh at Abbey's Bookshop,
Neural Networks and Learning Algorithms in MATLAB
— —
Ardashir Mohammadazadeh Mohammad Hosein Sabzalian

Neural Networks and Learning Algorithms in MATLAB

Ardashir Mohammadazadeh,  Mohammad Hosein Sabzalian,  Oscar Castillo ,  Rathinasamy Sakthivel

$340.95   $273.14

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English
Springer International Publishing AG
11 December 2023
Mathematical & statistical software; Algorithms & data structures; Neural networks & fuzzy systems
Series: Synthesis Lectures on Intelligent Technologies
This book explains the basic concepts, theory and applications of neural networks in a simple unified approach with clear examples and simulations in the MATLAB programming language. The scripts herein are coded for general purposes to be easily extended to a variety of problems in different areas of application. They are vectorized and optimized to run faster and be applicable to high-dimensional engineering problems. This book will serve as a main reference for graduate and undergraduate courses in neural networks and applications. This book will also serve as a main basis for researchers dealing with complex problems that require neural networks for finding good solutions in areas, such as time series prediction, intelligent control and identification. In addition, the problem of designing neural network by using metaheuristics, such as the genetic algorithms and particle swarm optimization, with one objective and with multiple objectives, is presented.
By:   , , , ,
Imprint:   Springer International Publishing AG
Country of Publication:   Switzerland
Edition:   2022 ed.
Dimensions:   Height: 240mm,  Width: 168mm, 
Weight:   236g
ISBN:   9783031145735
ISBN 10:   3031145739
Series:   Synthesis Lectures on Intelligent Technologies
Pages:   117
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

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