CBR系统中案例检索优化方案的设计

案例检索是基于案例推理系统的关键环节,检索方法的优劣直接影响案例检索的效率和案例匹配的准确度.针对传统案例检索方法中存在的不足,提出了一种基于二次检索策略和改进的欧式距离算法的案例检索优化方案,并通过算例证明了该方案的有效性.研究成果有助于提高案例检索的效率和质量,同时具有较好的分辨率.该方案尤其适用于数值型案例的检索.

Design of Optimized Case Retrieval Program of CBR System

Case retrieval was a key link in case-based reasoning system. The efficiency of case retrieval and the accuracy of case matching were directly affected by the retrieval methods. For the shortcomings of traditional case retrieval methods, and based on the strategy of secondary search and improved Euclidean distance algorithm, a case retrieval optimization program was put forward, and the effectiveness of the program was proved by example. The results showed that this method had high resolution, and would improve the efficiency and quality of case retrieval. The program was especially suitable for numeric data retrieval.