[1]
|
Chai Tian-You. Operational optimization and feedback control for complex industrial processes. Acta Automatica Sinica, 2013, 39(11): 1744-1757(柴天佑. 复杂工业过程运行优化与反馈控制. 自动化学报, 2013, 39(11): 1744-1757)
|
[2]
|
Tang J, Chai T Y, Zhao L J, Yu W, Yue H. Soft sensor for parameters of mill load based on multi-spectral segments PLS sub-models and on-line adaptive weighted fusion algorithm. Neurocomputing, 2012, 78(1): 38-47
|
[3]
|
Gui Wei-Hua, Yang Chun-Hua, Chen Xiao-Fang, Wang Ya-Lin. Modeling and optimization problems and challenges arising in nonferrous metallurgical processes. Acta Automatica Sinica, 2013, 39(3): 197-207(桂卫华, 阳春华, 陈晓方, 王雅琳. 有色冶金过程建模与优化的若干问题及挑战. 自动化学报, 2013, 39(3): 197-207)
|
[4]
|
Tang Jian, Chai Tian-You, Yu Wen, Zhao Li-Jie. On-line KPLS algorithm with application to ensemble modeling parameters of mill load. Acta Automatica Sinica, 2013, 39(5): 471-486(汤健, 柴天佑, 余文, 赵立杰. 在线KPLS 建模方法及在磨机负荷参数集成建模中的应用. 自动化学报, 2013, 39(5): 471-486)
|
[5]
|
Ding J L, Chai T Y, Wang H. Offline modeling for product quality prediction of mineral processing using modeling error PDF shaping and entropy minimization. IEEE Transactions on Neural Networks, 2011, 22(3): 408-419
|
[6]
|
Wu F H, Chai T Y. Soft sensing method for magnetic tube recovery ratio via fuzzy systems and neural networks. Neurocomputing, 2010, 73(13-15): 2489-2497
|
[7]
|
Cong Q M, Yu W, Chai T Y. Cascade process modeling with mechanism-based hierarchical neural networks. International Journal of Neural Systems, 2010, 20(1): 1-11
|
[8]
|
Qi H Y, Zhou X G, Liu L H, Yuan W K. A hybrid neural network-first principles model for fixed-bed reactor. Chemical Engineering Science, 1999, 54(13-14): 2521-2526
|
[9]
|
Kramer M A, Thompson M L, Bhagat P M. Embedding theoretical models in neural networks. In: Proceedings of the 1992 American Control Conference. Chicago, USA: IEEE, 1992. 475-479
|
[10]
|
Wang W, Yu W, Zhao L J, Chai T Y. PCA and neural networks-based soft sensing strategy with application in sodium aluminate solution. Journal of Experimental and Theoretical Artificial Intelligence, 2011, 23(1): 127-136
|
[11]
|
Sun Xian-Fang, Zhang Zhi-Fang, Ning Wen-Ru, Fan Yue-Zu. Robustness of OBE algorithms to underestimation of error bounds. Acta Automatica Sinica, 1998, 24(6): 784-788 (孙先仿, 张志方, 宁文如, 范跃祖. OBE算法对误差界低估的鲁棒性. 自动化学报, 1998, 24(6): 784-788)
|
[12]
|
Rubio J, Yu W, Ferreyra A. Neural network training with optimal bounded ellipsoid algorithm. Neural Computing and Applications, 2009, 18(6): 623-631
|
[13]
|
Yu W, Rubio J. Recurrent neural networks training with stable bounding ellipsoid algorithm. IEEE Transactions on Neural Networks, 2009, 20(6): 983-991
|
[14]
|
Kosmatopoulos E B, Polycarpou M M, Christodoulou M A, Ioannou P A. High-order neural network structures for identification of dynamical systems. IEEE Transactions on Neural Networks, 1995, 6(2): 422-431
|
[15]
|
Wang W, Chai T Y, Yu W, Wang H, Su C Y. Modeling component concentrations of sodium aluminate solution via hammerstein recurrent neural networks. IEEE Transactions on Control Systems Technology, 2012, 20(4): 971-982
|