Transactions of Materials and Heat Treatment

Title：Intelligent reasoning system of die & mold structure cases based on multiple concept learning

Authors： Shanghai Jiaotong University Lin Jianping Deng Qing Peng Yinghong Ruan Xueyu Wang Haoxing

Unit：

KeyWords： Cases learning Case\|base Automatic retrieval Die & mold

ClassificationCode：TP391.7

year,vol(issue):pagenumber：2000,25(4):52-54

Abstract：

CBR (case based reasoning) is one of the important techniques on development of artificial intelligent field.It is difficult for designer to obtain the similar cases quickly by general retrieval method in big case\|base.Therefore,It is necessary to research artificial intelligent retrieving technique.According to ID3 and PID decision tree algorithm based on cases learning,the new decision tree algorithm MNID had been advanced in this paper,which was an algorithm to consider multiple concept learning,and the reasoning system of die & mold structure case based on case learning was developed.It was effective to apply the system to die similar punch structure case retrieval.The reasoning rules could be obtained by automatic cases learning in this system.The similar cases of meeting designer's demand could be retrieved out.And the automatic retrieval for big case\|base was realized by the means of MNID algorithm.

Funds：

中国博士后基金

Reference：

1　 JR Quinlan.Induction of decision tree.Machine Learning,1 986( 1 ) :81～ 1 0 6
2　洪家荣等 .一种新的决策树归纳学习算法 .计算机学报 ,1 995( 6) :4 70～ 4 74

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