Referenced Items are not available for this document.
This brief deals with the possibilities of using the modified Kolmogorov's neural network for the identification of non-linear dynamic systems, among them the Wiener and Hammerstein systems. The algorithm of training the network is simple, well convergent and with a small error of approximation. The modified neural network is characterized by a simple computer algorithm; it also omits complicated techniques of back propagation. The simulation results are shown to illustrate the modified Kolmogorov theorem.
Published in:
Neural Networks and Learning Systems, IEEE Transactions on
(Volume:23
,
Issue:
4
)
Date of Publication: April 2012
- Page(s):
- 657 - 662
- ISSN :
- 2162-237X
- INSPEC Accession Number:
- 12571533
- Digital Object Identifier :
- 10.1109/TNNLS.2011.2178322
- Product Type:
- Journals & Magazines
- Date of Publication :
- 17 January 2012
- Date of Current Version :
- 05 March 2012
- Issue Date :
- April 2012
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