The nearest neighbor algorithm a type of retrieval strategy based on similarity theory is described, and the case in the case base can be retrieved.

阐述了基于相似度理论的最近邻居算法检索策略，能够对实例库中的实例进行检索。

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In allusion to insufficiency of design retrieval based on similarity, the Neural Network is introduced into design of case retrieval and a model based Neural Network is proposed.

针对基于相似度范例检索存在的不足，将神经网络引入设计检索的研究之中，提出了基于神经网络的设计检索模型。

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In the case retrieval, a new layered searching strategy and similarity measurement method are given. A multi-goal optimization method is proposed to optimize the cutting parameters.

在检索相似实例中采用了分层检索策略和相应的相似度分层计算方法，并应用多目标的优化方法对加工参数进行优化。

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