Neural Networks and Learning Algorithms in MATLAB

Author:   Ardashir Mohammadazadeh ,  Mohammad Hosein Sabzalian ,  Oscar Castillo ,  Rathinasamy Sakthivel
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2022
ISBN:  

9783031145735


Pages:   117
Publication Date:   11 December 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Neural Networks and Learning Algorithms in MATLAB


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Overview

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.

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Author:   Ardashir Mohammadazadeh ,  Mohammad Hosein Sabzalian ,  Oscar Castillo ,  Rathinasamy Sakthivel
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2022
Weight:   0.236kg
ISBN:  

9783031145735


ISBN 10:   3031145739
Pages:   117
Publication Date:   11 December 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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