The information was a initial data as a input in Artificial Neural Network (ANN), which ivolve in machine learning and generates the specific network to forecast data in specific areas and parameters. The study ares comprise the number of region in Thaland in where can be divided to 4 ; Northern, Eastern, North-East and South. All datas have in monthly interval and some data mising and errors were remove to fit the networks.

The prediction in term of  monthly time series ; precipitation, relative humidity, Temperature and wind speeds, was provided by ANN and simplify to the data table  and chart in there.The visitors can choose the data which matchs their interested areas and times. Not only the prediction but also reliable coefficient (R),which should over 0.76, was including.

This section involves in the theoritical meterial ,which was used in this reserch including the method which bases on their theory such as a feed-forward propagation and the basis theory of General Circulation models.Fethermore, some result can not be recieved in 1 process and the processes like a raster data. It mean that the background method ,which was used in the study,will be examined in this section