主要论文论著 | [1] Bo Wang, Jihong Deng ,Hui Jiang,*Markov Transition Field Combined with Convolutional Neural Network Improved the Predictive Performance of Near-Infrared Spectroscopy Models for Determination of Aflflatoxin B1 in Maize,Foods,2022,11(15):2210-2232 (IF:5.561) [2] Bo Wang,Jihong Deng, Hui Jiang,*,Quansheng Chen,Electronic nose signals-based deep learning odels to realize high-precision monitoring of imultaneous saccharification and fermentation of cassava,Microchemical Journal,2022,182:1079-1086 (IF:5.304) [3] Bo Wang,Mengyi He,Xingyu Wang,A multi-model predictive control method for the Pichia pastoris fermentation process based on relative error weighting algorithm,Alexandria Engineering Journal,2022,61(12)9649-9960(IF:6.626) [4] Bo Wang,Xingyu Wang,Xianglin Zhu*,Study on Multi-Model Soft Sensor Modeling Method and Its Model Optimization for the Fermentation Process of Pichia pastoris,Senors, 2021,21(22):7635-7641 (IF:3.576) [5] Bo Wang,Muhammad Shahzad,Xianglin Zhu,A Non-linear Model Predictive Control Based on Grey-Wolf Optimization Using Least-Square Support Vector Machine for Product Concentration Control in L-Lysine Fermentation,Sensors,2020,20(9):3335-3342(IF:3.576) [6] Bo Wang, Meifu Yu, Xianglin Zhu*,Li Zhu, Soft-sensing modeling based on ABC-MLSSVM inversion for marine low- temperature alkaline protease MP fermentation process, BMC Biotechnol, 2020,20(9):2-15(IF:2.563) [7] 王博,Soft-Sensor Modeling and Predictive Control for Fermentation Process,LAMBERT Academic Publishing, ISBN:978-620-4-21035-3,2021(学术专著) [8] 王博.生物发酵过程支持向量机逆软测量与优化控制,吉林大学出版, ISBN: 978-7-5677-4908-5,2015 (学术专著) |