2 March 1994 Modified Maxnet with fast convergence rate
Author Affiliations +
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Orly Yadid-Pecht, Orly Yadid-Pecht, Moshe Gur, Moshe Gur, } "Modified Maxnet with fast convergence rate", Proc. SPIE 2243, Applications of Artificial Neural Networks V, (2 March 1994); doi: 10.1117/12.169957; https://doi.org/10.1117/12.169957
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

Beta-CMOS implementation of an artificial neuron
Proceedings of SPIE (March 22 1999)
Machine vision applications of analog neural net chips
Proceedings of SPIE (September 16 1992)
Very-low-noise switching-free CNN-based adder
Proceedings of SPIE (November 02 1999)
Modeling of neural net chips using image algebra
Proceedings of SPIE (November 01 1990)

Back to Top