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

arXiv:2403.14918v1 Announce Type: new
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.

abstract applications arxiv case case study challenges cs.lg deep learning forecasting however importance perceptron practical predictions research scientific study systems type weather weather forecasting