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arXiv · 2403.14918

Deep learning-based method for weather forecasting: A case study in Itoshima

Yuzhong Cheng·Linh Thi Hoai Nguyen·Akinori Ozaki·Ton Viet Ta
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Abstract

Accurate weather forecasting is of paramount importance for a wide range of practical applications, drawing substantial scientific and societal interest. However, the intricacies of weather systems pose substantial challenges to accurate predictions. This research introduces a multilayer perceptron model tailored for weather forecasting in Itoshima, Kyushu, Japan. Our meticulously designed architecture demonstrates superior performance compared to existing models, surpassing benchmarks such as Long Short-Term Memory and Recurrent Neural Networks.

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Yuzhong Cheng, Linh Thi Hoai Nguyen, Akinori Ozaki, Ton Viet Ta. 2024-03-22. Deep learning-based method for weather forecasting: A case study in Itoshima. https://arxiv.org/abs/2403.14918

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