Forecasting Method for Farming Gross Output Based on Rough Set and RBF Neural Network
Du Zhi · Journal of Luoyang Institute of Science and Technology · 2010
A new method for forecasting the farming gross output with rough set and RBF neural network has been presented in this paper.Firstly the main influencing factors are chosen based on attributes reduction of rough sets,and the redundancy factors are removed.Then a forecasting model is founded by using RBF neural network.Finally comparisons are made between the forecasting results of the new model and the factor analysis neural network,to prove the efficiency and advantages of the new one.