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- W2511700521 abstract "In this paper, an enhanced method for rule extraction from a multilayered neural network is proposed. Conventionally a learned network is treated as a black-box model, so internal distributed knowledge in it can not be indicated in explicit form. The authors analyzed the mathematical properties of a neural network, and based on the properties, defined an index to evaluate a weights matrix. By using this index, the causal relationships between each input and output are interpreted as production rules. Furthermore, a modified error backpropagating algorithm which can control excessive redunduncy in a network is proposed to enhance learning ability. This algorithm was applied to the operation support of coagulant injection in a water purification plant. The computer simulation showed advanced reliability regarding extracted rules and association." @default.
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- W2511700521 date "1991-01-01" @default.
- W2511700521 modified "2023-09-24" @default.
- W2511700521 title "Rule extraction from neural network. Application for the operation support of coagulant injection in water purification plant." @default.
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- W2511700521 doi "https://doi.org/10.1541/ieejias.111.20" @default.
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