東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

An introduction to neural network me...

Yadav, Neha.

Linked to FindBook

Google Book

Amazon

博客來

An introduction to neural network methods for differential equations

Record Type:	Electronic resources : Monograph/item
Title/Author:	An introduction to neural network methods for differential equations/ by Neha Yadav, Anupam Yadav, Manoj Kumar.
Author:	Yadav, Neha.
other author:	Yadav, Anupam.
Published:	Dordrecht :Springer Netherlands : : 2015.,
Description:	xiii, 114 p. :ill., digital ;24 cm.
[NT 15003449]:	Preface -- Introduction -- 1 Overview of Differential Equations -- 2 History of Neural Networks -- 3 Preliminaries of Neural Networks -- 4 Neural Network Methods for Solving Differential Equations -- Conclusion -- Appendix -- References -- Index.
Contained By:	Springer eBooks
Subject:	Neural networks (Computer science) -
Online resource:	http://dx.doi.org/10.1007/978-94-017-9816-7
ISBN:	9789401798167 (electronic bk.)

An introduction to neural network methods for differential equations
Yadav, Neha.

An introduction to neural network methods for differential equations[electronic resource] /by Neha Yadav, Anupam Yadav, Manoj Kumar. - Dordrecht :Springer Netherlands :2015. - xiii, 114 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology, Computational intelligence,2191-530X. - SpringerBriefs in applied sciences and technology.Computational intelligence..

Preface -- Introduction -- 1 Overview of Differential Equations -- 2 History of Neural Networks -- 3 Preliminaries of Neural Networks -- 4 Neural Network Methods for Solving Differential Equations -- Conclusion -- Appendix -- References -- Index.

This book introduces a variety of neural network methods for solving differential equations arising in science and engineering. The emphasis is placed on a deep understanding of the neural network techniques, which has been presented in a mostly heuristic and intuitive manner. This approach will enable the reader to understand the working, efficiency and shortcomings of each neural network technique for solving differential equations. The objective of this book is to provide the reader with a sound understanding of the foundations of neural networks, and a comprehensive introduction to neural network methods for solving differential equations together with recent developments in the techniques and their applications. The book comprises four major sections. Section I consists of a brief overview of differential equations and the relevant physical problems arising in science and engineering. Section II illustrates the history of neural networks starting from their beginnings in the 1940s through to the renewed interest of the 1980s. A general introduction to neural networks and learning technologies is presented in Section III. This section also includes the description of the multilayer perceptron and its learning methods. In Section IV, the different neural network methods for solving differential equations are introduced, including discussion of the most recent developments in the field. Advanced students and researchers in mathematics, computer science and various disciplines in science and engineering will find this book a valuable reference source.

ISBN: 9789401798167 (electronic bk.)

Standard No.: 10.1007/978-94-017-9816-7doiSubjects--Topical Terms:

532070
Neural networks (Computer science)

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

An introduction to neural network methods for differential equations
LDR:02892nmm a2200325 a 4500 001 1995326
003 DE-He213
005 20150921150757.0
006 m d
007 cr nn 008maaau
008 151019s2015 ne s 0 eng d
020 $a 9789401798167 (electronic bk.)
020 $a 9789401798150 (paper)
024 7 $a 10.1007/978-94-017-9816-7 $2 doi
035 $a 978-94-017-9816-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.87
072 7 $a PBWH $2 bicssc
072 7 $a MAT003000 $2 bisacsh
082 0 4 $a 006.32 $2 23
090 $a QA76.87 $b .Y12 2015
100 1 $a Yadav, Neha. $3 2134716
245 1 3 $a An introduction to neural network methods for differential equations $h [electronic resource] / $c by Neha Yadav, Anupam Yadav, Manoj Kumar.
260 $a Dordrecht : $b Springer Netherlands : $b Imprint: Springer, $c 2015.
300 $a xiii, 114 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, Computational intelligence, $x 2191-530X
505 0 $a Preface -- Introduction -- 1 Overview of Differential Equations -- 2 History of Neural Networks -- 3 Preliminaries of Neural Networks -- 4 Neural Network Methods for Solving Differential Equations -- Conclusion -- Appendix -- References -- Index.
520 $a This book introduces a variety of neural network methods for solving differential equations arising in science and engineering. The emphasis is placed on a deep understanding of the neural network techniques, which has been presented in a mostly heuristic and intuitive manner. This approach will enable the reader to understand the working, efficiency and shortcomings of each neural network technique for solving differential equations. The objective of this book is to provide the reader with a sound understanding of the foundations of neural networks, and a comprehensive introduction to neural network methods for solving differential equations together with recent developments in the techniques and their applications. The book comprises four major sections. Section I consists of a brief overview of differential equations and the relevant physical problems arising in science and engineering. Section II illustrates the history of neural networks starting from their beginnings in the 1940s through to the renewed interest of the 1980s. A general introduction to neural networks and learning technologies is presented in Section III. This section also includes the description of the multilayer perceptron and its learning methods. In Section IV, the different neural network methods for solving differential equations are introduced, including discussion of the most recent developments in the field. Advanced students and researchers in mathematics, computer science and various disciplines in science and engineering will find this book a valuable reference source.
650 0 $a Neural networks (Computer science) $3 532070
650 0 $a Differential equations $x Data processing. $3 534347
650 1 4 $a Mathematics. $3 515831
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 1619875
650 2 4 $a Ordinary Differential Equations. $3 891264
650 2 4 $a Numerical and Computational Physics. $3 1066671
650 2 4 $a Appl.Mathematics/Computational Methods of Engineering. $3 890892
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 891040
700 1 $a Yadav, Anupam. $3 2134717
700 1 $a Kumar, Manoj. $3 2134718
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in applied sciences and technology. $p Computational intelligence. $3 2054423
856 4 0 $u http://dx.doi.org/10.1007/978-94-017-9816-7
950 $a Engineering (Springer-11647)