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案例推理 C B R( Case Based Reasoning) 是人工智能应用中的一种重要推理技术。案例的检索直接决定了案例推理的速度和精度。本文对传统的基于比较的检索模型进行了分析研究,提出了基于神经网络的检索模型。这种模型克服了基于比较的检索模型中检索的速度与库的大小呈线性关系的缺点。
Case-Based Reasoning C B R (Case Based Reasoning) is an important reasoning technique in artificial intelligence applications. Case retrieval directly determines the speed and accuracy of case-based reasoning. In this paper, the traditional comparison-based retrieval model was analyzed and studied, and a retrieval model based on neural network was proposed. This model overcomes the disadvantage of a linear relationship between the retrieved speed in the retrieval-based retrieval model and the size of the library.