Access Restriction

Author Govind, G. ♦ Ramamoorthy, P.A.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1990
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations
Abstract The similarities and differences between the conventional Volterra series techniques and the neural network approach are discussed. The analysis is done from the point of view of representation capabilities for nonlinear systems, and it is shown that a small neural network can represent high-order nonlinear systems, whereas a very large number of terms are required for an equivalent Volterra series representation. This is shown by means of a series expansion of a neural network. Issues common to the two nonlinear modeling approaches are analyzed
ISBN 0780301730
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1990-08-09
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 288.26 kB
Page Count 4
Starting Page 633
Ending Page 636

Source: IEEE Xplore Digital Library