Paper
2 March 1994 Modified Maxnet with fast convergence rate
Orly Yadid-Pecht, Moshe Gur
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 and Moshe Gur "Modified Maxnet with fast convergence rate", Proc. SPIE 2243, Applications of Artificial Neural Networks V, (2 March 1994); https://doi.org/10.1117/12.169957
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KEYWORDS
Neurons

Logic

Neural networks

Signal processing

Analog electronics

Biomedical engineering

Biomedical optics

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