the flood and drought in both first stage and second stage of rainy season in fujian province were forecasted by the ways of line regression prediction equation and three kinds of artificial neural network models, the results show : the backpropagation ( bp ), radial basis function ( rbf ) and elman neural network models are much better than line regression prediction equation in historical sample fittings, independent sample test, actual prediction ability (3)運用線性回歸預報方程和三種人工神經(jīng)網(wǎng)絡模型對福建汛期旱澇進行預測的實驗表明:bp、徑向基(rbf)和elman這三種人工神經(jīng)網(wǎng)絡模型在歷史樣本擬合精度上、獨立樣本檢驗結(jié)果和網(wǎng)絡模型的實際預測能力上都明顯優(yōu)于傳統(tǒng)的線性回歸方法。
the flood and drought in both first stage and second stage of rainy season in fujian province were forecasted by the ways of line regression prediction equation and three kinds of artificial neural network models, the results show : the backpropagation ( bp ), radial basis function ( rbf ) and elman neural network models are much better than line regression prediction equation in historical sample fittings, independent sample test, actual prediction ability (3)運用線性回歸預報方程和三種人工神經(jīng)網(wǎng)絡模型對福建汛期旱澇進行預測的實驗表明:bp、徑向基(rbf)和elman這三種人工神經(jīng)網(wǎng)絡模型在歷史樣本擬合精度上、獨立樣本檢驗結(jié)果和網(wǎng)絡模型的實際預測能力上都明顯優(yōu)于傳統(tǒng)的線性回歸方法。