XIONG Zhi-hua, HUANG Guo-hong, SHAO Hui-he. Comparison and Application Research on Soft Sensor Modeling Based on Gaussian Processes and Support Vector Machines[J]. INFORMATION AND CONTROL, 2004, 33(6): 754-757.
Citation:
XIONG Zhi-hua, HUANG Guo-hong, SHAO Hui-he. Comparison and Application Research on Soft Sensor Modeling Based on Gaussian Processes and Support Vector Machines[J]. INFORMATION AND CONTROL, 2004, 33(6): 754-757.
XIONG Zhi-hua, HUANG Guo-hong, SHAO Hui-he. Comparison and Application Research on Soft Sensor Modeling Based on Gaussian Processes and Support Vector Machines[J]. INFORMATION AND CONTROL, 2004, 33(6): 754-757.
Citation:
XIONG Zhi-hua, HUANG Guo-hong, SHAO Hui-he. Comparison and Application Research on Soft Sensor Modeling Based on Gaussian Processes and Support Vector Machines[J]. INFORMATION AND CONTROL, 2004, 33(6): 754-757.
Comparison and Application Research on Soft Sensor Modeling Based on Gaussian Processes and Support Vector Machines
The comparison between Gaussian processes(GP)and s upport vector machines(SVM)is presented.Theoretical analysis and simulation experiment show that GP-based soft sensor is a probabilistic kernel machine and moderately simple to implement and use without loss of performance compared with SVM,which lays solid base for advanced control system.
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