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Updated: Jan 12, 2026

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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孟加拉国东北部和印度跨境洪水地区的降水建模使用双元启发优化NMF神经网络进行降水建模

Shuvendu Pal Shuvo1, Shirshendu Pal Shibazee2, Chaitee Das3

  • 1Department of Civil Engineering , Khulna University of Engineering and Technology (KUET) , Khulna, Bangladesh. shuvenduce@gmail.com.

Scientific reports
|November 1, 2025
PubMed
概括

本研究引入了一种新的两步混合优化方法,用于人工神经网络 (ANN),以提高降雨预报的准确性. 新方法有效地处理复杂的降雨数据,优于现有的单步和元启发式优化技术.

关键词:
人工神经网络的人工神经网络杂交方式的混合化.超听证学优化优化方法非负矩阵因子分解 (NMF)降雨量 降雨量 降雨量

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