An Introduction to Neural Network Methods for Differential Equations

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...

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Bibliographic Details
Main Authors: Yadav, Neha (Author), Yadav, Anupam (Author), Kumar, Manoj, 1976- (Author)
Format: Electronic eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2015.
Series:SpringerBriefs in applied sciences and technology.
Subjects:
Mathematics.
Differential equations.
Neural networks (Computer science)
Computer science > Mathematics.
Physics.
Applied mathematics.
Engineering mathematics.
Mathematical Models of Cognitive Processes and Neural Networks.
Ordinary Differential Equations.
Numerical and Computational Physics.
Appl.Mathematics/Computational Methods of Engineering.
Computational Mathematics and Numerical Analysis.
Computer science.
Online Access:Connect to this title online
Table of Contents:
  • 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.

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