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Updated: Jul 19, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

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在印度Murredu流域使用SWAT和八个人工智能模型进行降雨-流水建模,印度

Padala Raja Shekar1, Aneesh Mathew2, Arun P S3

  • 1Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, 620015, India.

Environmental monitoring and assessment
|August 17, 2023
PubMed
概括

精确的流量估计对于水资源管理至关重要. 长期短期记忆 (LSTM) 模型在模拟Murredu河流域的降雨-排水过程方面显著超过了其他人工智能 (AI) 和土壤和水评估工具 (SWAT) 模型.

关键词:
在HGBoost中,您可以使用HGBoost.这是LSTM的LSTM.降雨-流失模式的模型.特别突击队的特种部队.在XGBoost上使用.

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