Electrical & Computer Engineering Faculty Publications

Document Type

Article

Publication Date

10-12-1997

Abstract

In this paper we show how the stability of a LAPART neural network can be deduced as a result of a general theorem on the input/output stability of nonlinear systems. This result gives conditions on how to choose certain parameters in the LAPART network in order to guarantee stability, which has implications on LAPART's generalization properties and its noise robustness.

Publisher

IEEE

Publication Title

1997 IEEE International Conference on Systems

ISSN

1062-922X

First Page

1356

Last Page

1360

DOI

10.1109/ICSMC.1997.638162

Language (ISO)

English

Sponsorship

IEEE

Keywords

Chaos, Neural networks, Neurofeedback

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