Bayesian optimization of hybrid quantum LSTM in a mixed model for precipitation forecasting

Bayesian optimization of hybrid quantum LSTM in a mixed model for precipitation forecasting

Precipitation forecasting has important applications in meteorological research. Accurate forecasting is of great significance for reducing the impact of floods, optimizing crop planting plans, rationally allocating water resources, and ensuring traffic safety. However, the factors affecting precipi...

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Bibliographic Details
Main Authors:	Yumin Dong, Huanxin Ding
Format:	Article
Language:	English
Published:	IOP Publishing 2025-01-01
Series:	Machine Learning: Science and Technology
Subjects:	random forest regression temporal convolution quantum long short-term memory network rainfall prediction
Online Access:	https://doi.org/10.1088/2632-2153/adbbad
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