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Title: Neural network supported adaptation in case-based reasoning
Authors: Si, Yain Whar (池英華)
Babka, Otakar
Issue Date: Sep-1998
Publisher: ICSC Academic Press
Citation: International ICSC/IFAC Symposium on Neural Computation (NC98), Sep. 1998, p. 931-936
Abstract: This paper describes a system, whichintegrates Neural Network (NN) models into adaptation circle of Case-based Reasoning (CBR) system. Neural Network supported adaptation can predict one or more attributes for adaptation, which can not be estimated by application of general or domain specific rules. This improvement ease CBR users in performing adaptation process to their existing case bases.
Keywords: Case-based reasoning
Neural network
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