A real-time Mooney-viscosity prediction model of the mixed rubber based on the Independent Component Regression-Gaussian Process algorithm

Author:

Song Kai1,Wu Fang1,Tong Tuo-peng1,Wang Xiao-jing1

Affiliation:

1. School of Chemical Engineering and Technology; Tianjin University; Tianjin; 300072; China

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Reference30 articles.

1. Rubber Processing and Production Organization

2. Merikoski S Laurikkala M Koivisto H An adaptive neuro-fuzzy inference system as a soft sensor for viscosity in rubber mixing process 2001

3. Xie YC Wang HQ Gao YC Li P Study of discharge modeling method using support vector machine for rubber mixing process Proceedings of the 2003 American Control Conference

4. Yang D Liu Y Fan Y Wang HQ Online prediction of Mooney viscosity in industrial rubber mixing process via adaptive kernel learning method 2009

5. Neural modelling of Mooney viscosity of polybutadiene rubber;Padmavathi;Comput. Chem. Eng.,2005

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