Neural Network Supported Adaptation in Case-based Reasoning
نویسندگان
چکیده
This paper describes a system, which integrates 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.
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تاریخ انتشار 1998