GPR model with signal preprocessing and bias update for dynamic processes modeling

• المؤلفون الرئيسيون: Ni, Wangdong, Wang, Ke, Chen, Tao, Ng, Wun Jern, Tan, Soon Keat
• مؤلفون آخرون: School of Chemical and Biomedical Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2013
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/100842; http://hdl.handle.net/10220/10816
• المؤسسة: Nanyang Technological University

This paper introduces a Gaussian process regression (GPR) model which could adapt to both linear and nonlinear systems automatically without prior introduction of kernel functions. The applications of GPR model for two industrial examples are presented. The first example addresses a biological anaer...