Forecasting method’s training and validation phase of Qiaodongcun forecasting point.

Forecasting method’s training and validation phase of Qiaodongcun forecasting point.

<p>(a) LSTM’s forecast curve by using watershed-internal KG and LLM. (b) RNN’s forecast curve by using watershed-internal KG and LLM. (c) GRU’s forecast curve by using watershed-internal KG and LLM.</p>

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Bibliographic Details
Main Author:	Songsong Wang (8088293) (author)
Other Authors:	Ouguan Xu (20874889) (author)
Published:	2025
Subjects:	Medicine Biological Sciences not elsewhere classified Information Systems not elsewhere classified water levels associated identify significant disaster guide future research gated recurrent units necessitating extensive data dimensional disaster data large language model internal knowledge graph internal information structures various factors influencing mountain flood forecasting forecasting water levels lstm series outperforms encompass watershed relationships standard lstm model input hydrological data input data lstm model time forecasting related factors forecasting algorithms internal kg hydrological kg zhejiang province xlink "> term memory study investigates qixi reservoir long short findings indicate facilitate real effective combination comparative analysis
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