BUILDING A TEMPERATURE FORECASTING MODEL FOR THE CITY WITH THE REGRESSION NEURAL NETWORK (RNN)

In recent years, according to some studies of environmental organizations in the world and Viet Nam show that the weather change is quite complex. Global warming has become a serious problem in modern world which is the concern of scientists. Last century, it's difdicult for us to forcast the weather. Why can't scientists accurately predict the weather? The reason is that the weather monitoring stations were missing and technological limitations. Therefore, it's hard to collect data for the construction of predictive models to make accurate simulations. In Viet Nam, the research for weather forecast models have been applied recently. They have been developed since 2000. Along with the development of computer science, mathematical models are built and applied to machine learning techniques that help to build accurate and more reliable predictive models. The results of research and solutions for the application of urban temperature forecasting with the recurrent neural network is going to be summarized in this article