Cargando…
An Introduction to Neural Network Methods for Differential Equations
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 ena...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Dordrecht :
Springer Netherlands : Imprint: Springer,
2015.
|
| Edición: | 1st ed. 2015. |
| Colección: | SpringerBriefs in Computational Intelligence,
|
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-94-017-9816-7 | ||
| 003 | DE-He213 | ||
| 005 | 20220119024629.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 150226s2015 ne | s |||| 0|eng d | ||
| 020 | |a 9789401798167 |9 978-94-017-9816-7 | ||
| 024 | 7 | |a 10.1007/978-94-017-9816-7 |2 doi | |
| 050 | 4 | |a QA76.87 | |
| 072 | 7 | |a PBWH |2 bicssc | |
| 072 | 7 | |a MAT003000 |2 bisacsh | |
| 072 | 7 | |a PBWH |2 thema | |
| 082 | 0 | 4 | |a 519 |2 23 |
| 100 | 1 | |a Yadav, Neha. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 3 | |a An Introduction to Neural Network Methods for Differential Equations |h [electronic resource] / |c by Neha Yadav, Anupam Yadav, Manoj Kumar. |
| 250 | |a 1st ed. 2015. | ||
| 264 | 1 | |a Dordrecht : |b Springer Netherlands : |b Imprint: Springer, |c 2015. | |
| 300 | |a XIII, 114 p. 21 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a SpringerBriefs in Computational Intelligence, |x 2625-3712 | |
| 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) . | |
| 650 | 0 | |a Differential equations. | |
| 650 | 0 | |a Mathematical physics. | |
| 650 | 0 | |a Engineering mathematics. | |
| 650 | 0 | |a Engineering-Data processing. | |
| 650 | 0 | |a Mathematics-Data processing. | |
| 650 | 1 | 4 | |a Mathematical Models of Cognitive Processes and Neural Networks. |
| 650 | 2 | 4 | |a Differential Equations. |
| 650 | 2 | 4 | |a Theoretical, Mathematical and Computational Physics. |
| 650 | 2 | 4 | |a Mathematical and Computational Engineering Applications. |
| 650 | 2 | 4 | |a Computational Mathematics and Numerical Analysis. |
| 700 | 1 | |a Yadav, Anupam. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Kumar, Manoj. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9789401798174 |
| 776 | 0 | 8 | |i Printed edition: |z 9789401798150 |
| 830 | 0 | |a SpringerBriefs in Computational Intelligence, |x 2625-3712 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-94-017-9816-7 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||