Rule Extraction , Fuzzy ARTMAP , and Medical Databases

Abstract

This paper shows how knowledge, in the form of fuzzy rules, can be derived from a. self-organizing supervised learning neural network called fuzzy ARTMAP. Rule extraction proceeds in two stages: pruning removes those recognition nodes whose confidence index falls below a selected threshold; and quantization of continuous learned weights allows the final… (More)

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