Referenced Items are not available for this document.
A procedure for the selection of neural models of dynamical processes is presented. It uses statistical tests at various levels of model reduction, in order to provide optimal tradeoffs between accuracy and parsimony. The efficiency of the method is illustrated by the modeling of a highly nonlinear NARX process
Published in:
Neural Networks for Signal Processing [1994] IV. Proceedings of the 1994 IEEE Workshop
Date of Conference: 6-8 Sep 1994
- Page(s):
- 229 - 237
- Meeting Date :
- 06 Sep 1994-08 Sep 1994
- Print ISBN:
- 0-7803-2026-3
- INSPEC Accession Number:
- 4858546
- Conference Location :
- Ermioni
- Digital Object Identifier :
- 10.1109/NNSP.1994.366044
- Product Type:
- Conference Publications
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