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Neural Computation

May 1994, Vol. 6, No. 3, Pages 543-558
(doi: 10.1162/neco.1994.6.3.543)
© 1994 Massachusetts Institute of Technology
Functionally Equivalent Feedforward Neural Networks
Article PDF (785.14 KB)
Věra Kůrková
Institute of Computer Science, P. O. Box 5, 182 07, Prague 8, Czechia
Paul C. Kainen
Industrial Math, 3044 N St., N.W., Washington, D.C. 20007 USA
Abstract

For a feedforward perceptron type architecture with a single hidden layer but with a quite general activation function, we characterize the relation between pairs of weight vectors determining networks with the same input-output function.