Abstract:
The combination of multi-models can improve the accuracy and robustness of model. Based on the above
ideas, this paper proposes a multi-model fuzzy kernel clustering method. By using fuzzy kernel clustering, the
input data are firstly clustered according to different work conditions. Then, the submodel is built for every
subset by using least square support vector machine method. Finally, the system output is obtained through the sub
-model switch strategy. The simulation on the platform of sewage disposal is made for the soft sensor model of
biochemical oxygen demand (BOD) and some better results are obtained.