Referenced Items are not available for this document.
In this letter we point out that multilayer neural networks (MLP) with either sigmoidal units or radial basis functions can be given a canonical form with positive interunits weights, which does not restrict the well-known MLP universal computational capabilities. We give some results on the local minima of the error function using this canonical form. In particular, we prove that the local minima free conditions established in previous works can be relaxed significantly.
Published in:
Neural Networks, IEEE Transactions on
(Volume:9
,
Issue:
5
)
Date of Publication: Sept. 1998
- Page(s):
- 1051 - 1053
- ISSN :
- 1045-9227
- INSPEC Accession Number:
- 6024825
- Digital Object Identifier :
- 10.1109/72.712191
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Sept. 1998
- Sponsored by :
- IEEE Computational Intelligence Society
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