案例推理(CBR)是人工智能的一种新求解方法,其中案例检索(case retrieval)是案例推理过程的一个重要环节。在CBR基础上引入了Petri网理论,建立了眼科疾病诊治基 .
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This model can accurately retrieve similar cases and improve the speed of case retrieval.
该模型适用于对故障症状和故障原因之间关系不十分明确的场合,可以比较准确地检索到相似案例,提高案例检索速度。
参考来源 - 灰色关联度在故障诊断系统中的应用Secondly, we put forward a similar case retrieve arithmetic based on nerve network and a similar case revise arithmetic based on Rule-Based Reasoning and causality.
其次，提出和实现了一种基于神经网络的相似案例检索算法和一种基于因果关系和规则推理的相似案例的决策方案修正算法，并将二者相结合。
参考来源 - 基于案例的推理在智能决策支持系统中的应用Multi-influence factor effect on the attribute weight and the relatedness of its attributes is rarely considered in traditional case searching algorithm.
传统的案例检索算法较少考虑多影响因子对属性权值的作用及属性间关联性。
参考来源 - 基于改进覆盖算法和灰色关联度的案例检索In addition, a adjusting and learning method was given. Fourthly, this paper discuss several kinds of case searching methods and similarity degree calculating methods.
第四，重点详细地研究了几种案例检索方法和相似度计算方法。
参考来源 - 基于案例推理的边坡稳定性评估系统研究Thirdly, case retrieval is a focus of CBR system, the similarity results calculated by the Euclidean Distance retrieval algorithm, which is widely used in the CBR system, often deviates from the fact in engineering.
此外,案例检索是基于案例推理系统的中心环节,目前应用最多的欧氏距离检索算法在实际应用中经常出现计算的相似度结果偏离工程实际的情况。
参考来源 - 基于案例推理的装甲车辆指标论证系统的研究与设计·2,447,543篇论文数据，部分数据来源于NoteExpress
自学习案例检索模型则缓解了案例检索时间随案例数目呈线性增长的问题。
Then a retrieval model of introspective learning is given to decrease the time of case retrieval, which can vary with the number of cases in case base obviously.
通过试验表明该方法具有良好的适用性、准确性，是案例检索与匹配的有效方法。
The experiment proved that this method is of higher adaptability and accuracy and is the effective way for case retrieval and matching.
本文重点研究文本案例检索算法及其应用，完成的主要工作包括：1文本案例的表示。
This paper mainly studies textual case retrieve algorithms and applications, the main works are as follows: 1 the representation of textual case.
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