Applied artificial neural network methods for engineers and scientists (Record no. 97784)

000 -LEADER
fixed length control field 03384cam a2200373Ma 4500
001 - CONTROL NUMBER
control field 00012097
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210218s2021 si o 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789811230219
-- (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (hbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (pbk.)
082 04 - CLASSIFICATION NUMBER
Call Number 006.32
100 1# - AUTHOR NAME
Author Chakraverty, Snehashish.
245 10 - TITLE STATEMENT
Title Applied artificial neural network methods for engineers and scientists
Sub Title solving algebraic equations /
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Singapore :
Publisher World Scientific,
Year of publication 2021.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (x, 179 p.)
505 0# - FORMATTED CONTENTS NOTE
Remark 2 ANN preliminaries -- Mathematical preliminaries -- Polynomial equations with application in solving bakery problem -- Transcendental equations in power electronics applications -- Diophantine equations in pole placement -- Systems of linear equations with application in static structural problems -- Systems of nonlinear equations in electrical network analysis -- Eigenvalue problems with application in structural dynamics -- Nonlinear eigenvalue problems with application in structural dynamics -- Definite integrals in the fluid force on a vertical surface -- Inverse problems in structural dynamics.
520 ## - SUMMARY, ETC.
Summary, etc "The aim of this book is to handle different application problems of science and engineering using expert Artificial Neural Network (ANN). As such, the book starts with basics of ANN along with different mathematical preliminaries with respect to algebraic equations. Then it addresses ANN based methods for solving different algebraic equations viz. polynomial equations, diophantine equations, transcendental equations, system of linear and nonlinear equations, eigenvalue problems etc. which are the basic equations to handle the application problems mentioned in the content of the book. Although there exist various methods to handle these problems, but sometimes those may be problem dependent and may fail to give a converge solution with particular discretization. Accordingly, ANN based methods have been addressed here to solve these problems. Detail ANN architecture with step by step procedure and algorithm have been included. Different example problems are solved with respect to various application and mathematical problems. Convergence plots and/or convergence tables of the solutions are depicted to show the efficacy of these methods. It is worth mentioning that various application problems viz. Bakery problem, Power electronics applications, Pole placement, Electrical Network Analysis, Structural engineering problem etc. have been solved using the ANN based methods"--Publisher's website.
700 1# - AUTHOR 2
Author 2 Jeswal, Sumit Kumar.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.worldscientific.com/worldscibooks/10.1142/12097#t=toc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Neural networks (Computer science)
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Equations, Theory of.

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