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Rvm Soft Sensing Model Based On Optimized Combined Kernel Function, Yanan Zhang, Huizhong Yang
Rvm Soft Sensing Model Based On Optimized Combined Kernel Function, Yanan Zhang, Huizhong Yang
Journal of System Simulation
Abstract: An RVM spft sensingmodeling method based onthe optimizedcombined kernel functionis proposed.In order to simultaneously get better prediction and sparsity, a fitness function synthesizing regression accuracy and sparsity is created while constructing a combined kernel functionfor RVM.The genetic algorithm is used to optimize the weights and kernel parametersof the RVMcombined kernel.The proposed method is used totomodela cleavage-recovery unit in the production process of Bisphenol-A.The results show that it can guarantee better sparsity andregression accuracy than the general SVM combinedkernel model andGA-RVM single kernel model.