Application of Artificial Neural Network(ANN) in Quantitative Precipitation Estimating from GMS Satellite Remote-sensing
人工神经网络在卫星遥测定量降雨估算中的应用

Quantitative precipitation forecasting is an importat basis for optimal control managements and flood protection of all govements. After having analyzed the GMS satellite remote\|sensing preciptation and ANN, this study provides input\|output simulation and estimating of preciptation based on the three\|layer feed\|forward ANN model according to the GMS satellite data.The results of the application show that it is effective.