Building a temperature forecasting model for the city with the regression neural network (RNN)
<|reference_start|>Building a temperature forecasting model for the city with the regression neural network (RNN): 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.<|reference_end|>
@article{tran2024building,
    title={Building a temperature forecasting model for the city with the
  regression neural network (RNN)},
    author={Nguyen Phuc Tran, Duy Thanh Tran, Thi Thuy Nga Duong},
    journal={The 6th International Conference for Small & Medium Business in
  2020 (ICSMB 2020)},
    year={2024},
    doi={10.5281/zenodo.6190227},
    archivePrefix={arXiv},
    eprint={2405.17582},
    primaryClass={cs.LG cs.SY eess.SY}
}