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    CBR中基于实例特征的相似实例检索模型研究

    RESEARCH ON CASE FEATURE BASED CASE INDEXING MODELS IN CBR

    • 摘要: 本文在对实例相似性进行深入研究之后,提出了实例特征的概念和基于实例特征的实例相似性判断的两个论点.在这两个论点基础上提出了面向设计任务的基于神经网络的实例检索模型和面向实例特征属性的基于重构分类网的实例检索模型

       

      Abstract: Following the study of the problem of case analogy,the concept of case feature as well as two arguments of judging analogical cases on the basis of the case features are proposed in this paper.Based on this two arguments, a design task oriented case indexing model based on artificial neural network and a case feature attribute oriented case indexing model based on reconstructed discrimination network are put forward.

       

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