Wavelet neural networks model used for runoff forecast based on fuzzy C-means clustering
Yang Song · Journal of systems engineering · 2009
In consideration of the seasonal heterogeneity of runoff variety,a new method of runoff forecast based on fuzzy clustering analysis for forecasting factor set is presented in this paper.The historical runoff data are divided into four categories by using fuzzy C-means clustering.Then local forecasting models between the forecasting factor set and observation values are established by using wavelet neural network model.And a categorized recognizer of network model is applied,which can automatically search a corresponding local model to forecast.A comparison between single wavelet neural model and the forecasting model proposed in this paper is made through an example.The results show that the forecasting precision of the latter is higher than that of the former.