2005-01-012024-05-17https://scholars.lib.ntu.edu.tw/handle/123456789/684457摘要：本計畫建立類神經網路颱風降雨預報模式，透過類神經網路網路處理非線性關係的能力，將複雜的颱風降雨機制記憶在類神經網路架構內，以達到推估颱風降雨之目的。經由電子計算機的高速運算能力，能即時推估出目標時段的颱風降雨量，增進颱風降雨預報之效率與準確度。<br> Abstract: In this project, a neural network will be developed to forecast the typhoon rainfall. First, the model configuration is evaluated using eight typhoon characteristics. Furthermore, the influence of spatial rainfall information on the rainfall forecasting is considered for improving the model design. The semivariogram is applied to determine the required number of nearby rain gauges whose rainfall information will be used as input to the model too. With the typhoon characteristics and the spatial rainfall information as input to the model, the forecasting model can produce reasonable forecasts.颱風降雨類神經網路預報Typhoon rainfallArtificial neural networksforecast