Rule extraction: From neural architecture to symbolic representation

• Main Authors: CARPENTER, Gail A., TAN, Ah-hwee
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 1995
• 主題: Fuzzy ARTMAP rule; confidence factor; pruning; Databases and Information Systems; Systems Architecture; Theory and Algorithms
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/6281; https://ink.library.smu.edu.sg/context/sis_research/article/7284/viewcontent/ARTMAP_Rule_Extraction_CS95.PDF

This paper shows how knowledge, in the form of fuzzy rules, can be derived from a supervised learning neural network called fuzzy ARTMAP. Rule extraction proceeds in two stages: pruning, which simplifies the network structure by removing excessive recognition categories and weights; and quantization...