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基于改进的模糊C-均值聚类算法的接线箱分配设计与应用 被引量:2

Junction Boxes Allocation and Application Based on Improved Fuzzy C-means Clustering Algorithm
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摘要 为了解决工程设计中接线箱分配最优化的问题,通过分析和比较各种聚类方法,对模糊C-均值聚类算法进行改进和参数设置,通过初始化、迭代、解模糊及分裂等步骤,实现了接线箱的自动分配功能。并设计了一种基于改进的模糊C-均值聚类算法的接线箱分配辅助软件,可以根据不同要求自动分配接线箱的功能,给出了软件流程,分析了实验结果,并在某设计院项目接线箱的实际布置中成功应用。 To optimize the allocation of junction boxes in engineering design,various clustering methods were analyzed and compared; and fuzzy C-means clustering algorithm was improved and relevant parameters were set; through initialization,iteration,defuzzification and split operation,the auto-allocation of junction boxes was realized. An improved C-means clustering algorithm-based assistive software for the auto-allocation of junction boxes was developed to allocate junction boxes as requested automatically; and the software flow chart was presented,including experimental results. This software enjoys successfully application in a design institute.
出处 《化工自动化及仪表》 CAS 2016年第9期962-965,共4页 Control and Instruments in Chemical Industry
关键词 模糊C-均值聚类 接线箱自动分配 模糊聚类 软件流程 fuzzy C-means clustering auto-allocation of junction boxes fuzzy clustering software flow chart
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