CBR System Based on Quotient Space Model
Yun Kun · Jisuanji gongcheng · 2006
Traditional CBR system is planar architecture.With the system’s running and learning,case base will become larger and larger.When the numbers of cases surpass some boundary,there will be swarming problem.To settle this problem,this paper presents a CBR system based on quotient space model,which is hierarchical architecture.It combines active learning with lazy learning in system running phase.Experimental results show that based on this method,the system performance is greatly increased.