Adaptive quadratic Neural Nets.

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

Research output: Contribution to journalArticlepeer-review

12 Citations (Web of Science)


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
Issue numberMay, 1992
Publication statusPublished - 1992


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