DOI: 10.5176/978-981-08-7656-2ATAI2010-20
Authors: Saratha Sathasivam & Muraly Velavan
Abstract:
Pseudo inverse learning rule is examined forits ability to accelerate the performance of doing logic programming in Hopfield neural network. This learning rule has a higher capacity than the Hebb Ruleand Direct learning rule. This learning rule also suffers significantly less capacity loss as the network gets larger and more complex. Comparisons are made between these three rules to see which rule is better or outperformed other rules in the aspects of computation time, memory and complexity.
Keywords: Pseudo inverse, Hebb rule, direct method, capacity
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