Artificial Intelligence

    

Storkey Learning Rules for Hopfield Networks

Authors: Xiao Hu

We summarize the Storkey Learning Rules for the Hopfield Model, and evaluate performance relative to other learning rules. Hopfield Models are normally used for auto-association, and Storkey Learning Rules have been found to have good balance between local learning and capacity. In this paper we outline different learning rules and summarise capacity results. Hopfield networks are related to Boltzmann Machines: they are the same as fully visible Boltzmann Machines in the zero temperature limit. Perhaps renewed interest in Boltzmann machines will produce renewed interest in Hopfield learning rules?

Comments: 9 Pages.

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Submission history

[v1] 2013-09-17 16:04:54

Unique-IP document downloads: 2260 times

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