Title :
Research on weather forecast based on neural networks
Author :
Yuan Quan ; Yuchang, Lu
Author_Institution :
State Key Lab. of Intelligent Technol. & Syst., Tsinghua Univ., Beijing, China
Abstract :
The traditional method based on aerodynamics and expertise for weather forecast focuses on present data, but the historical database is not utilized. The paper presents research on weather forecasting through the historical database. Because the atmosphere pattern is a complex, nonlinear system, the traditional method is not an effective method. The multi-layer neural network is a potent method for resolving this problem. With the backpropagation neural networks the atmosphere pattern is divided into five patterns based on the rainfall. Comments on this method and a special atmosphere pattern are given at the end of the paper
Keywords :
backpropagation; data mining; large-scale systems; multilayer perceptrons; nonlinear systems; rain; weather forecasting; atmosphere pattern; backpropagation neural networks; complex nonlinear system; historical database; multi-layer neural network; rainfall; weather forecasting; Aerodynamics; Atmosphere; Computer science; Deductive databases; Intelligent systems; Laboratories; Neural networks; Nonlinear systems; Technology forecasting; Weather forecasting;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863402
