所蔵: Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management

表紙画像

Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management

As a result of global climate change, sustainable water supply management is becoming increasingly difficult. Dams and reservoirs are key tools for controlling and managing water resources

保存先:

書誌詳細
主要な著者:	Latif S.D., Ahmed A.N.
その他の著者:	57216081524
フォーマット:	論文
出版事項:	Springer Science and Business Media B.V. 2024
主題:	Boosted regression tree (BRT) Dokan dam Long short-term memory (LSTM) Reservoir inflow Brain Climate change Economics Errors Flood control Learning algorithms Learning systems Mean square error Reservoirs (water) Water conservation Water management Water supply Boosted regression tree Boosted regression trees Long short-term memory Machine learning algorithms Root mean square errors Streamflow prediction Sustainable water supply Water supply management regression analysis reservoir sustainable development water management water resource water supply
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!