Adaptive quadratic Neural Nets.

S.G. Lim, Michael Alder, P.T. Hadingham

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

We present the theory and some results of a new algorithm for Artificial Neural Nets which behaves well on complex data sets. The algorithm uses adaptive quadratic forms as discriminant functions and is very fast compared with Back-Propagation - improvements of four orders of magnitude have been obtained.
Original languageEnglish
Pages (from-to)325-329
JournalPattern Recognition Letters
Volume13
Issue numberMay, 1992
DOIs
Publication statusPublished - 1992

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