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For the time series prediction problem, the relationship between the abstracted independent variables and the response variable is usually strong non-linear. We propose a neural network fusion model based on k-hyperplanes for non-linear regression. A k-hyperplane clustering algorithm is developed to split the data to several clusters. The experiments are done on an artificial time series, and the convergence of k-hyperplane clustering algorithm and neural network gradient training algorithm isdoi:10.1109/coginf.2010.5599808 dblp:conf/IEEEicci/HeQ10 fatcat:eoozkjo4dvcaff2hkjetpocqsa