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Updated: Jun 7, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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可解释的人工智能可用于可靠的水需求预测,以增加对预测的信任

Claudia Maußner1, Martin Oberascher2, Arnold Autengruber3

  • 1Fraunhofer Austria Research GmbH KI4LIFE, Lakeside B13a, 9020 Klagenfurt am Wörthersee, Austria.

Water research
|November 15, 2024
PubMed
概括

欧盟的人工智能法案将水系统中的人工智能分类为高风险. 透明和不透明的人工智能模型都满足了可解释性的需求,但在预测水需求时的准确性和稳定性各不相同.

关键词:
战斗的水需求预测的战斗欧盟的人工智能法案 欧盟的人工智能法案机器学习是机器学习.这是不透明的.透明 透明的 透明的供水系统的供水系统.在XAI,XAI就是XAI.

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