Delta Learning Rule for the Active Sites Model
Neural and Evolutionary Computing
2010-07-05 v1
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.
Cite
@article{arxiv.1007.0417,
title = {Delta Learning Rule for the Active Sites Model},
author = {Krishna Chaithanya Lingashetty},
journal= {arXiv preprint arXiv:1007.0417},
year = {2010}
}
Comments
12 Pages, 7 figures