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Identification of CTQs for Complex Products Based on Mutual Information and Improved Gravitational Search Algorithm

机译:基于互信息和引力搜索算法的复杂产品CTQ识别

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摘要

The identification of CTQs for complex products is the first step to implement quality control. To improve the efficiency and accuracy of CTQs identification, we propose a novel hybrid approach based on mutual information and improved gravitational search algorithm, which has advantages of filter and wrapper. At first, the information relevance and redundancy are measured by mutual information. Then, the improved gravitational search algorithm is used to search the CTQs. Experimentation is carried out using 2 UCI data sets, and the classification capability of CTQs is tested by SVM and tenfold cross validation. The results show that the presented method is verified to be effective and practically applicable.
机译:识别复杂产品的CTQ是实施质量控制的第一步。为了提高CTQs识别的效率和准确性,我们提出了一种基于互信息和改进的引力搜索算法的混合方法,该方法具有过滤器和包装器的优点。首先,信息的相关性和冗余是通过互信息来衡量的。然后,使用改进的引力搜索算法搜索CTQ。使用2个UCI数据集进行实验,并通过SVM和十倍交叉验证来测试CTQ的分类能力。结果表明,所提出的方法是有效和实用的。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第1期|765985.1-765985.6|共6页
  • 作者单位

    Tianjin Univ, Dept Ind Engn, Tianjin 300072, Peoples R China.;

    Tianjin Univ Tradit Chinese Med, Coll Management, Tianjin 300073, Peoples R China.;

    Tianjin Univ, Dept Ind Engn, Tianjin 300072, Peoples R China.;

    Tianjin Univ, Dept Ind Engn, Tianjin 300072, Peoples R China.;

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