Research on case retention strategy for industrial case-based reasoning (CBR) system: A practical case study

Abstract

Case retention is an important unit in developing a case-based reasoning (CBR) system. It not only directly relates to the difficulty of the case base maintenance, but also affects the reasoning efficiency and correctness of the CBR system. However, the case retention is still not attracted enough attention, and the researches on it is very little. In this paper, case retention strategy for the industrial CBR system is studied by taking an industrial soft-sensor CBR system as the research case. According to the different ways of case creation, two different case retention strategies are proposed, respectively. The improved CBR system with the proposed case retention method has been applied in the grinding product particle size soft-sensor CBR system. The successful practical application results have shown the effectiveness and prospect of the proposed method.