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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Yadav, Neha (Autor), Yadav, Anupam (Autor), Kumar, Manoj (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:SpringerBriefs in Computational Intelligence,
Temas:
Neural networks (Computer science) .
Differential equations.
Mathematical physics.
Engineering mathematics.
Engineering-Data processing.
Mathematics-Data processing.
Mathematical Models of Cognitive Processes and Neural Networks.
Differential Equations.
Theoretical, Mathematical and Computational Physics.
Mathematical and Computational Engineering Applications.
Computational Mathematics and Numerical Analysis.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares