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可视化映射事例的检索方法研究
引用本文:孙中伟,蔡青. 可视化映射事例的检索方法研究[J]. 西北工业大学学报, 2000, 18(3): 483-486
作者姓名:孙中伟  蔡青
作者单位:1. 西北工业大学CAD/CAM中心,陕西,西安,710072;南京大学计算机科学与技术系,江苏,南京,210008
2. 西北工业大学CAD/CAM中心,陕西,西安,710072
摘    要:可视化映射需要满足表示准则和有效准则。本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。

关 键 词:可视化映射 事例推理 人工智能 检索方法 CBR
修稿时间:1998-09-25

Research on the Retrieval of Visualization Mapping Cases in Case-Based Reasoning
Sun Zhongwei,Cai Qing. Research on the Retrieval of Visualization Mapping Cases in Case-Based Reasoning[J]. Journal of Northwestern Polytechnical University, 2000, 18(3): 483-486
Authors:Sun Zhongwei  Cai Qing
Abstract: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.
Keywords:expressiveness   effectiveness   case based reasoning   intelligent visualization mapping   retrieval
本文献已被 CNKI 维普 万方数据 等数据库收录!
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