可视化映射事例的检索方法研究  

Research on the Retrieval of Visualization Mapping Cases in Case-Based Reasoning

作　　者：孙中伟[1] 蔡青[1] 

机构地区：[1]西北工业大学CAD/CAM中心,陕西西安710072

出　　处：《西北工业大学学报》2000年第3期483-486,共4页Journal of Northwestern Polytechnical University

摘　　要：:可视化映射需要满足表示准则和有效准则。本文结合基于事例的推理技术对可视化智能映射进行研究 ,提出了一种适合可视化映射的事例检索新方法。分析了可视化映射问题的索引模式。在集成神经网络与模糊认知图的基础上 ,给出了可视化映射事例的匹配算法和最佳事例选择算法 ,消除了基于固定相似性评价尺度进行事例检索的缺点 ,也解决了带有主观评价因素的可视化映射的表示准则和有效准则问题。The basic criteria for visualization mapping are expressiveness and effectiveness. And the technique of case based reasoning holds promise for intellingent visualization mapping. In this paper, a retrieval method for visualization mapping cases is presented. The indexing model of visualization mapping cases is introduced. Through the integration of artificial neural networks and fuzzy cognitive maps, the disadvantages of the case retrieval with a fixed similarity metric is eliminated, and the expressiveness and effectiveness criteria for visualization mapping, which are often subjective and reflecting user preferences, are also satisfied.

关 键 词：可视化映射 事例推理 人工智能 检索方法 CBR 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]