A Method for Forecasting Fog Occurrence Using Neural Network

摘要

The present invention relates to a method for forecasting the occurrence of fog using a neural network. More specifically, the method enables accurate forecast of the occurrence of fog by constructing a neural network with the smallest error with the temperature, dew point temperature, humidity, wind speed, atmospheric pressure, solar radiation quantity, and the difference between the temperature and dew point temperature as input variables and a corrected value as an output value.