Heuristically Expanding Knowledge-Based Neural Networks

Abstract

Knowledge-based neural networks are networks whose topology is determined by mapping the dependencies of a domain-speciic rulebase into a neural network. However, existing network training methods lack the ability to add new rules to the (reformulated) rulebases. Thus, on domain theories that are lacking rules, generalization is poor, and training can… (More)

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