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Interpolation functions of feedforward neural networks
- Source :
-
Computers & Mathematics with Applications . Dec2003, Vol. 46 Issue 12, p1861. 14p. - Publication Year :
- 2003
-
Abstract
- Mathematical essence and structures of the feedforward neural networks are investigated in this paper. The interpolation mechanisms of the feedforward neural networks are explored. For example, the well-known result, namely, that a neural network is an universal approximator, can be concluded naturally from the interpolative representations. Finally, the learning algorithms of the feedforward neural networks are discussed. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 08981221
- Volume :
- 46
- Issue :
- 12
- Database :
- Academic Search Index
- Journal :
- Computers & Mathematics with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 12307526
- Full Text :
- https://doi.org/10.1016/S0898-1221(03)90242-2