Active Sites model for the B-Matrix Approach

Details Active Sites model for the B-Matrix Approach Active Sites model for the B-Matrix Approach

2010-06-24

arxiv.org/abs/1006.4754v1

Computer Science

Neural and Evolutionary Computing

11 pages, 4 figures, 3 tables

Scientific paper

This paper continues on the work of the B-Matrix approach in hebbian learning proposed by Dr. Kak. It reports the results on methods of improving the memory retrieval capacity of the hebbian neural network which implements the B-Matrix approach. Previously, the approach to retrieving the memories from the network was to clamp all the individual neurons separately and verify the integrity of these memories. Here we present a network with the capability to identify the "active sites" in the network during the training phase and use these "active sites" to generate the memories retrieved from these neurons. Three methods are proposed for obtaining the update order of the network from the proximity matrix when multiple neurons are to be clamped. We then present a comparison between the new methods to the classical case and also among the methods themselves.

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