Neural Networks and Learning Algorithms in MATLAB (Record no. 84882)

000 -LEADER
fixed length control field 03942nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-3-031-14571-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730163705.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221210s2022 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031145711
-- 978-3-031-14571-1
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
100 1# - AUTHOR NAME
Author Mohammadazadeh, Ardashir.
245 10 - TITLE STATEMENT
Title Neural Networks and Learning Algorithms in MATLAB
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
300 ## - PHYSICAL DESCRIPTION
Number of Pages IX, 117 p. 105 illus., 87 illus. in color.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Intelligent Technologies,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Chapter 1. Introduction -- Chapter 2. Multilayer Perceptron (MLP) Neural Networks -- Chapter 3- Neural Networks Training Based on Recursive Least Squares (RLS) -- Chapter 4. Neural Networks Training Based on Second-Order Optimization Technique -- Chapter 5. Neural Networks Training Based on Genetic Algorithm -- Chapter 6. Neural Network Training Based on Particle Swarm Optimization (PSO) -- Chapter 7- Neural Network Training Based on UKF -- Chapter 8. Designing Neural-Fuzzy PID Controller through Multiobjective Optimization.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Sabzalian, Mohammad Hosein.
700 1# - AUTHOR 2
Author 2 Castillo, Oscar.
700 1# - AUTHOR 2
Author 2 Sakthivel, Rathinasamy.
700 1# - AUTHOR 2
Author 2 El-Sousy, Fayez F. M.
700 1# - AUTHOR 2
Author 2 Mobayen, Saleh.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-14571-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2022.
336 ## -
-- text
-- txt
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-- computer
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-- rdamedia
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-- online resource
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347 ## -
-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2731-6920
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-- ZDB-2-SXSC

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