Using Variable Threshold to Increase Capacity in a Feedback Neural Network

Abstract

The article presents new results on the use of variable thresholds to increase the capacity of a feedback neural network. Non-binary networks are also considered in this analysis.

16 pages, 3 figures

References in corpus (3)

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