A Typhoon Prediction System of Artificial Neural Network
Zhou Zengkui;Han Guirong;Zhu Dingzheng;Geng Hui;Chen Biyun(Jiangsu Meteorological Observatory,Nanjing 210008 )Zhou Rong(Naming University, 210008 )
hrough lots of data training and calculations,the selected BP network is improved to beadapted to the typhoon track prediction. After 2159 times of training,the neural network output of the typhoon track-westward,northward and northwestward,is compared with thehistorical data. Its fitted ratio is up to 97%,The probability of the typhoon moving trend isgiven by means of human-computer dialogus.