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Updated: Jul 25, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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使用计算智能方法进行长期预测,同时考虑不确定性问题

Mohammad Najafzadeh1, Sedigheh Anvari2

  • 1Department of Water Engineering, Faculty of Civil and Surveying Engineering, Graduate University of Advanced Technology, P.O. Box 76315117, Kerman, Iran. moha.najafzadeh@gmail.com.

Environmental science and pollution research international
|June 27, 2023
PubMed
概括

本研究量化了用于流量预测的人工智能 (AI) 模型中的不确定性. 与多变量自适应回归分线 (MARS) 和基因表达编程 (GEP) 相比,模型树 (MT) 的不确定性较低.

关键词:
人工智能模型的人工智能模型统计措施 统计措施流量预测流量预测不确定性分析不确定性分析

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