Rule extraction from local cluster neural nets


This paper describes RULEX, a technique for providing an explanation component for Local Cluster (LC) neural networks. RULEX extracts symbolic rules from the weights of a trained LC net. LC nets are a special class of multilayer perceptrons that use sigmoid functions to generate localised functions. LC nets are well suited to both function approximation and… (More)
DOI: 10.1016/S0925-2312(01)00577-X


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