Journal of Shanghai Jiaotong University ›› 2017, Vol. 51 ›› Issue (6): 722-726.

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 A Soft Sensor Modeling Method Based on
 SelfAdaptive Fuzzy Gauss Kernel Clustering

 XIA Yuan,YANG Huizhong   

  1.  Key Laboratory of Advanced Control in Light Industry Process of Ministry of Education,
    Jiangnan University, Wuxi 214122, Jiangsu, China
  • Online:2017-06-30 Published:2017-06-30
  • Supported by:
     

Abstract:  It is difficult for a single model to express the complicated production process, and it often results in low accuracy of prediction and poor performance of generalization. This paper presents a multimodel fusion method based on probability weight and selfadaptive fuzzy Gauss kernel clustering. The method determines cluster centers according to dispersion of the samples in a high dimensional space. The weight of every submodel is given by Bayesian posterior method. The method can overcome the limitation of singlemodel forecast and improve traditional multimodel fusion methods for obtaining higher prediction accuracy.

Key words:  adaption, fuzzy Gauss kernel clustering, probabilityweighted, multimodel

CLC Number: