Delta Learning Rule for the Active Sites Model

Computer Science – Neural and Evolutionary Computing

Scientific paper

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12 Pages, 7 figures

Scientific paper

This paper reports the results on methods of comparing the memory retrieval capacity of the Hebbian neural network which implements the B-Matrix approach, by using the Widrow-Hoff rule of learning. We then, extend the recently proposed Active Sites model by developing a delta rule to increase memory capacity. Also, this paper extends the binary neural network to a multi-level (non-binary) neural network.

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