DocumentCode :
1428574
Title :
On the use of separable Volterra networks to model discrete-time Volterra systems
Author :
Adeney, K.M. ; Korenberg, Michael J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, Ont., Canada
Volume :
12
Issue :
1
fYear :
2001
fDate :
1/1/2001 12:00:00 AM
Firstpage :
174
Lastpage :
175
Abstract :
A paper by Marmarelis and Zhao (1997) describes the use of what the authors call a “separable Volterra network” for modeling high-order Volterra systems. This model is identical to a parallel cascade of dynamic linear/polynomial static nonlinear elements, which has been extensively studied since 1982 for the same purpose
Keywords :
cascade systems; discrete time systems; modelling; neural nets; discrete-time Volterra systems; dynamic linear/polynomial static nonlinear elements; high-order Volterra systems; parallel cascade; separable Volterra networks; Artificial neural networks; Backpropagation; Biomedical engineering; Kernel; Neural networks; Nonlinear systems; Polynomials; Stress; Terminology;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/72.896810
Filename :
896810
Link To Document :
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