: 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 pr...
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
Case-based reasoning aims at solving a problem by the adaptation of the solution of an already solved problem that has been retrieved in a case base. This paper defines an approach...
This paper discusses how ontology helps case-based reasoning to provide better FAQ services. The proposed CBR technique works as a FAQ proxy service between the users and the back...
This paper presents a case-based reasoning (CBR) approach to provide adaptive support in microworlds. Interaction in microworlds is complex and unstructured, making the analysis of...