An artificial neural network method for solving boundary value problems with arbitrary irregular boundaries

An artificial neural network method for solving boundary value problems with arbitrary irregular boundaries

An artificial neural network (ANN) method was developed for solving boundary value problems (BVPs) on an arbitrary irregular domain in such a manner that all Dirichlet and/or Neuman boundary conditions (BCs) are automatically satisfied. Exact satisfaction of BCs is not available with traditional num...

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Bibliographic Details
Main Author: McFall, Kevin Stanley
Format: Others
Language:en_US
Published: Georgia Institute of Technology 2006
Subjects:
Artificial intelligence
Boundary value problems
Exact matching of boundary conditions
Irregular boundaries
Artificial neural networks
Neural networks (Computer science)
Online Access:http://hdl.handle.net/1853/10506

Internet

http://hdl.handle.net/1853/10506

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