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...
Autores principales: | Yadav, Neha, Yadav, Anupam, Kumar, Manoj |
---|---|
Lenguaje: | eng |
Publicado: |
Springer
2015
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-94-017-9816-7 http://cds.cern.ch/record/1996681 |
Ejemplares similares
-
Meshfree Methods for Partial Differential Equations VI
por: Griebel, Michael, et al.
Publicado: (2013) -
Optimal control of stochastic difference Volterra equations: an introduction
por: Shaikhet, Leonid
Publicado: (2015) -
Uncertain differential equations
por: Yao, Kai
Publicado: (2016) -
Introduction to numerical methods in differential equations
por: Holmes, Mark
Publicado: (2007) -
Index-aware model order reduction methods: applications to differential-algebraic equations
por: Banagaaya, N, et al.
Publicado: (2016)