相关实验视频

Updated: Jun 5, 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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利用InVEST生态系统服务模型与深度学习和备用谈判相结合,在伊朗北部有效地保持沉积物

Ali Nasiri Khiavi1, Hamid Khodamoradi2, Fatemeh Sarouneh2

  • 1Ardabil Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Ardabil, Iran. a.nasiri@areeo.ac.ir.

Environmental science and pollution research international
|December 13, 2024
PubMed
概括

深度学习模型,特别是RNN,在沉积物保留建模中表现出优异的性能,与卡西里亚流域的游戏理论算法相比. 这些先进的方法准确地预测了沉积物保留模式,有助于有效的流域管理.

关键词:
深度学习是一种深度学习.环境建模环境建模游戏理论的游戏理论.沉积物管理策略 沉积物管理策略下水分区优先考虑的优先事项.

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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

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