Khatibisepehr S, Huang B, Xu F, Espejo A. A Bayesian approach to design of adaptive multi-model inferential sensors with application in oil sand industry [J]. Journal of Process Control, 2012, 22 (10): 1913-1929.
[2]
Wang Huazhong (王华忠). Gaussian process and its application to soft-sensor modeling [J]. Journal of Chemical Industry and Engineering (China) (化工学报), 2007, 58 (11): 2840-2845.
[3]
He Zhikun (何志昆), Liu Guangbin (刘光斌), Zhao Xijing (赵曦晶), Wang Minghao (王明昊). Overview of Gaussian process regression [J]. Control and Decision (控制与决策), 2013, 28 (8): 1121-1129.
[4]
Lei Yu (雷瑜), Yang Huizhong (杨慧中). Combination model soft sensor based on Gaussian process and Bayesian committee machine [J]. CIESC Journal (化工学报), 2013, 64 (12): 4434-4438.
[5]
Li X, Su H, Chu J. Multiple model soft sensor based on affinity propagation, Gaussian process and Bayesian committee machine [J]. Chinese Journal of Chemical Engineering, 2009, 17 (1): 95-99.
[6]
Rasmussen C E. Gaussian Processes for Machine Learning [M]. Cambridge: The MIT Press, 2006:16-18.
[7]
Sha Dingguo (沙定国). Error Analysis and Measurement Uncertainty Assessment (误差分析与测量误差评定) [M]. Beijing: China Metrology Press, 2003:218.
[8]
Murphy C K. Combining belief functions when evidence conflicts [J]. Decision Support Systems, 2000, 29 (1): 1-9.
[9]
Li X, Dezert J, Smarandache F, Huang X. Evidence supporting measure of similarity for reducing the complexity in information fusion [J]. Information Sciences, 2011, 181 (10): 1818-1835.
[10]
Su Z, Wang P, Shen J, Yu X, Lv Z, Lu L. Multi-model strategy based evidential soft sensor model for predicting evaluation of variables with uncertainty [J]. Applied Soft Computing, 2011, 11 (2): 2595-2610.
[11]
Birol G, ündey C, Cinar A. A modular simulation package for fed-batch fermentation: penicillin production [J]. Computers & Chemical Engineering, 2002, 26 (11): 1553-1565.
[12]
Xiong Weili (熊伟丽), Wang Xiao (王肖), Chen Minfang (陈敏芳), Xu Baoguo (徐保国). Modeling for penicillin fermentation process based on weighted LS-SVM [J]. CIESC Journal (化工学报), 2012, 63 (9): 2913-2919.
[13]
He Xiaoran (贺晓冉), Chen Chen (陈宸), Kim Kwang Sok (金光石), Xiong Zhihua (熊智华). Model simulation of fed-batch penicillin fermentation and optimization of substrate federate [J]. CIESC Journal (化工学报), 2012, 63 (9): 2831-2835.
[14]
Yang Xiaomei (杨小梅), Liu Wenqi (刘文琦), Yang Jun (杨俊). LSSVM modeling for fermentation process based on dividing stages [J]. CIESC Journal (化工学报), 2013, 64 (9): 3262-3269.
[15]
Li Xi (李喜). Research and soft sensing applications of partial least-squares regression [D]. Dalian: Dalian University of Technology, 2007.
[16]
Dai X, Wang W, Ding Y, Sun Z. “Assumed inherent sensor” inversion based ANN dynamic soft-sensing method and its application in erythromycin fermentation process [J]. Computers & Chemical Engineering, 2006, 30: 1203-1225.
[17]
Liu G, Zhou D, Xu H, Mei C. Model optimization of SVM for a fermentation soft sensor [J]. Expert Systems with Applications, 2010, 37 (4): 2708-2713.
[18]
Wang Bo (王博), Sun Yukun (孙玉坤), Ji Xiaofu (嵇小辅), Huang Yonghong (黄永红), Huang Li (黄丽). Soft-sensor modeling for lysine fermentation processes based on PSO-SVM inversion [J]. CIESC Journal (化工学报), 2012, 63 (9): 3000-3007.
[19]
Li Lijuan (李丽娟), Song Kun (宋坤), Zhao Yingkai (赵英凯). Modeling of ARA fermentation based on affinity propagation clustering [J]. CIESC Journal (化工学报), 2011, 62 (8): 2116-2121.
[20]
Xu Haixia (徐海霞), Liu Guohai (刘国海), Zhou Dawei (周大为), Mei Congli (梅从立). Soft sensor modeling based on modified kernel fuzzy clustering algorithm [J]. Chinese Journal of Scientific Instrument (仪器仪表学报), 2009, 30 (10): 2226-2231.
[21]
Sang Haifeng (桑海峰), Wang Fuli (王福利), He Dakuo (何大阔), Zhang Dapeng (张大鹏), He Jianyong (何建勇). Soft sensors of biomass concentration in nosiheptied fermentation process based on multiple support vector machines [J]. Journal of System Simulation (系统仿真学报), 2006, 18 (7): 1983-1986.
[22]
Zhong Weimin (钟伟民), Li Jie (李杰), Cheng Hui (程辉), Kong Xiangdong (孔祥东), Qian Feng (钱锋). A soft sensor multi-modeling for furnace temperature of gasifier based FCM clustering [J]. CIESC Journal (化工学报), 2013, 63 (12): 3951-3955.
[23]
Cong Qiumei (丛秋梅), Yuan Mingzhe (苑明哲), Chai Tianyou (柴天佑), Wang Hong (王宏). Online modeling for multi-model by adjusting the centers of operating ranges [J]. Control Theory & Applications (控制理论与应用), 2013, 30 (6): 773-780.
[24]
Suo Xingyi (索幸仪), Shi Hongbo (侍洪波). Soft sensor modeling of sewage disposal process based on multi-model fuzzy kernel clustering method [J]. Journal of East China University of Science and Technology: Natural Science Edition (华东理工大学学报: 自然科学版), 2010, 36 (5): 732-736.
[25]
Jin X, Wang S, Huang B, Forbes F. Multiple model based LPV soft sensor development with irregular/missing process output measurement [J]. Control Engineering Practice, 2012, 20 (2): 165-172.
[26]
Wang Zhenlei (王振雷), Tang Ku (唐苦), Wang Xin (王昕). A multi-model soft sensing method based on D-S and ARIMA model [J]. Control and Decision (控制与决策), 2014, 29 (7): 1160-1166.
[27]
Tang Ku (唐苦), Wang Xin (王昕), Wang Zhenlei (王振雷). Multi-model soft sensor based on Dempster-Shafer rule [J]. Control Theory & Applications (控制理论与应用), 2014, 31 (5): 632-637.
[28]
Domlan E, Huang B, Xu F, Espejo A. A decoupled multiple model approach for soft sensors design [J]. Control Engineering Practice, 2011, 19 (2): 126-134.
