Title :
Artificial neural networks in weather forecasting
Author :
DIyankov, Oleg V. ; Lykov, Vladimir A. ; Terekhoff, Serge A.
Author_Institution :
Russian Inst. of Tech. Phys., Russia
Abstract :
A method of statistical weather forecasting using databases of meteorological information is presented. The authors propose a special technique for constructing the learning set of images which represent the actual data. Forecasting of forthcoming weather events is based on the recognition of known data images using artificial neural networks and metric methods. Significant probabilities of true forecasting (up to 91%) on different data sets have been achieved
Keywords :
geophysics computing; learning (artificial intelligence); neural nets; visual databases; weather forecasting; artificial neural networks; databases; images; learning set; meteorological information; metric methods; probabilities; statistical weather forecasting; Artificial neural networks; Data mining; Image recognition; Intelligent networks; Physics; Stochastic processes; Weather forecasting;
Conference_Titel :
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location :
Rostov-on-Don
Print_ISBN :
0-7803-0809-3
DOI :
10.1109/RNNS.1992.268635
