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Neural Computation

Winter 1990, Vol. 2, No. 4, Pages 402-404
(doi: 10.1162/neco.1990.2.4.402)
© 1990 Massachusetts Institute of Technology
Small Depth Polynomial Size Neural Networks
Article PDF (131.4 KB)
Zoran Obradovic
Department of Computer Science, The Pennsylvania State University, University Park, PA 16802 USA
Peiyuan Yan
Mathematics Department, Lycoming College, Williamsport, PA 17701 USA
Abstract

For polynomially bounded weights and polylogarithmic precision, analog neural networks of polynomial size and depth 3 are strictly more powerful than those of polynomial size and depth 2.