Application of Data Mining Technique on Refined Temperature Forecast
The paper introduces the domestic and international current situation about the development of refined weather forecast and data mining application.On the basis of detailed analysis of BP neural network forecasting method,this paper researches a data mining method based on time series analysis technology which can be used on refined temperature forecast.This method can build an input sample pattern which is suit for the BP neural networks of data mining and finally establish a predictive model by studying temperature time series again and again,which used for the next 24 hours refined temperature forecast.At the same time,a brief introduction of the algorithm and steps of the BP neural network is given out in the paper,and some further improvement is made aiming at the deficiency of the original BP algorithm.Finally,through design data mining system and test on the Matlab6.5 simulation platform,the temperature forecast model was established.This study had done some helpful exploration on application of data mining theory based on time series analysis technology and developed method of refined weather forecast.
data miningrefined temperature forecastBP neural networksforecast model
NETL
NSTL
万方数据
维普
