Delta Learning Rule for the Active Sites Model

Abstract

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.

12 Pages, 7 figures

References in corpus (2)

• Single Neuron Memories and the Network's Proximity Matrix
• Active Sites model for the B-Matrix Approach

Cited by in corpus (1)

• Memory Retrieval in the B-Matrix Neural Network