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摘要:Quality prediction is of great importance for batch processes. Predicting quality variable is a challenging task because of various factors such as strong nonlinearity and nonGaussian exist in batch data. A quadratic mutual information based regression method is proposed to handle the problem. The proposed method takes into account higher order statistics that reveal the non-linear dependencies between the process variables and important quality variables. Furthermore, the proposed method is implemented without the hypothesis of Gaussian distribution of the dataset as in MPLS. The effectiveness of the QMIR method is illustrated by a dataset of industrial Escherichia coli fermentation process, compared with MPLS.
会议名称:

4th International Conference on Control Engineering and Artificial Intelligence (CCEAI 2020)

会议时间:

2020-01-17

会议地点:

Singapore

  • 专辑:

    理工A(数学物理力学天地生); 理工C(机电航空交通水利建筑能源)

  • 专题:

    数学; 数学; 工业通用技术及设备

  • DOI:

    10.26914/c.cnkihy.2020.002791

  • 分类号:

    TB114.2

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