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Proceedings Paper

Modified Maxnet with fast convergence rate
Author(s): Orly Yadid-Pecht; Moshe Gur
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Paper Abstract

A biologically—inspired modification to MAXNET is proposed. Unlike the original net where the weights are constant, the weights in the new net are dynamically changed. Consequently, the modified net achieves a drastic improvement in convergence rate. A simple hardware implementation for the modified net is presented.

Paper Details

Date Published: 2 March 1994
PDF: 8 pages
Proc. SPIE 2243, Applications of Artificial Neural Networks V, (2 March 1994); doi: 10.1117/12.169957
Show Author Affiliations
Orly Yadid-Pecht, Technion--Israel Institute of Technology (Israel)
Moshe Gur, Technion--Israel Institute of Technology (Israel)


Published in SPIE Proceedings Vol. 2243:
Applications of Artificial Neural Networks V
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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