Semi-Supervised Hybrid Local Kernel Regression for Soft Sensor Modelling of Rubber-Mixing Process

Semi-Supervised Hybrid Local Kernel Regression for Soft Sensor Modelling of Rubber-Mixing Process

Soft sensor techniques have been widely adopted in chemical industry to estimate important indices that cannot be online measured by hardware sensors. Unfortunately, due to the instinct time-variation, the small-sample condition and the uncertainty caused by the drifting of raw materials, it is exce...

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Bibliographic Details
Main Authors:	Haiqing Yu, Jun Ji, Ping Li, Fengjing Shao, Shunyao Wu, Yi Sui, Shujing Li, Fengjiao He, Jinming Liu
Format:	Article
Language:	English
Published:	Hindawi-Wiley 2020-01-01
Series:	Advances in Polymer Technology
Online Access:	http://dx.doi.org/10.1155/2020/6981302

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