The asymptotic memory capacity of the generalized Hopfield network

✍ Scribed by Jinwen Ma

• Publisher: Elsevier Science
• Year: 1999
• Tongue: English
• Weight: 90 KB
• Volume: 12
• Category: Article
• ISSN: 0893-6080
• DOI: 10.1016/s0893-6080(99)00042-8

✦ Synopsis

This paper presents a theoretical analysis on the asymptotic memory capacity of the generalized Hopfield network. The perceptron learning scheme is proposed to store sample patterns as the stable states in a generalized Hopfield network. We have obtained that n Ϫ 1 and 2n are a lower and an upper bound of the asymptotic memory capacity of the network of n neurons, respectively, which shows that the generalized Hopfield network can store the larger number of sample patterns than Hopfield network.