  In recent years, a study by environmental organizations in the world and
Vietnam shows that weather change is quite complex. global warming has become a
serious problem in the modern world, which is a concern for scientists. last
century, it was difficult to forecast the weather due to missing weather
monitoring stations and technological limitations. this made it hard to collect
data for building predictive models to make accurate simulations. in Vietnam,
research on weather forecast models is a recent development, having only begun
around 2000. along with advancements in computer science, mathematical models
are being built and applied with machine learning techniques to create more
accurate and reliable predictive models. this article will summarize the
research and solutions for applying recurrent neural networks to forecast urban
temperatures.
