Research And Application Of Search Algorithm In Case-Based Reasoning

With the improvements of the share degree of the net and collaboration, Case-Based Reasoning (CBR), as a branch of Knowledge-Based Expert System, attracted more attentions. CBR is a rapidly growing and efficiency reasoning method in the research of Artificial Intelligence (AI).This paper begins with a brevity introduction of the conceptions and theories of Case-Based Reasoning. Then according to the application fields of diagnose, expatiate the key parts of CBR System: case representation and storage, case retrieval and matching, case amending, study and index.The combination of extensional matter and standard table is used in case representation and storage , it solves the development of representations of knowledge in an efficiency way; and the combination of nearest neighbor method and the reduce in different levels according to some tactic is employed in case retrieval, to develop the retrieval efficiency and reduce the process of retrieval we use the conception of attributes' space in the retrieval process ; in case mending, we use two levels databases of cases to simulate the ability of study of men, to make the system has the ability of self-driven study , a structure like B+ tree be use to store the case of index .Moreover, this paper also discusses the integration of CBR and RBR , distributed database and CBR.