A novel intelligent model integrating PLSR with RBF-Kernel based Extreme Learning Machine: Application to modelling petrochemical process

Author:

Zhu Qun-Xiong,Zhang Xiao-Han,Wang Yanqing,Xu Yuan,He Yan-Lin

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference23 articles.

1. Reproducing kernel method for a class of weakly singular Fredholm integral equations;Alvandi;Journal of Taibah University for Science,2018

2. Christmann, A., Xiang, D., & Zhou, D. X. (2018). Total stability of kernel methods. Neurocomputing.

3. Multiple rank multi-linear kernel support vector machine for matrix data classification;Gao;International Journal of Machine Learning and Cybernetics,2018

4. Huang, G. B., Siew, C. K. (2012). Extreme learning machine: RBF network case. Control, Automation, Robotics & Vision Conference, Icarcv. IEEE.

5. Huang, G. B., Wu, J., & Wunsch, D. C. (2017). Hierarchical extreme learning machines. Neurocomputing277.

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