Case Base Reasoning Using Two Aspects Learning
Che Ting Wen · Jisuanji gongcheng · 2003
Based on the CBR using introspective learning this paper comes up a new CBR algorithm,the CBR using two aspects learning,for a few kinds of users. This new algorithm divides the original information into users information,which is abstracted into users case database and applications information,which is abstracted into applications case database. The retrieve speed and precision,the revise satisfaction and the retain rationality will be optimised by the reuse of the strategy of the old cases retrieve,revise and retain. This method is tested by a CBR system and has good precision and rapid convergence of retrieve. At the same time,it also has good selflearning ability.