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Updated: Jun 9, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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基于软计算模型的开发,用于预测伊朗洛里斯坦省的水质指数

Balraj Singh1, Alireza Sepahvand2, Parveen Sihag3

  • 1Panipat Institute of Engineering and Technology, Panipat, 132102, India.

Scientific reports
|October 30, 2024
PubMed
概括

本研究引入了先进的软计算模型来预测伊朗的水质指数 (WQI). 带有FireFly (ANN-FFA) 模型的人工神经网络在预测水质参数方面表现出卓越的准确性.

关键词:
人工神经网络的人工神经网络在FireFly算法中,我们使用的是FireFly算法.基因表达编程 基因表达编程洛里斯坦省 洛里斯坦省减少了错误的修剪树.水质指数是指水的质量指数.

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