According to the characteristics of injection products, a K-Nearest Neighbors (K-NN) case retrieval strategy was proposed based on rough set and simulated annealing algorithm.
针对注塑产品特点，提出了基于粗糙集和模拟退火算法的事例最邻近检索策略。
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。
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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