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Updated: Feb 8, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

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基于序列学习框架的盐水入侵的长期预测

Tongfang Li1, Kairong Lin1, Zheng Kang2

  • 1State Key Laboratory of Tunnel Engineering, Sun Yat-Sen University, Guangzhou, 510275, China; Guangdong Key Laboratory of Marine Civil Engineering, Guangzhou, 510275, China; Guangdong Engineering Technology Research Center of Water Security Regulation and Control for Southern China, Guangzhou, 510275, China.

Journal of environmental management
|February 6, 2026
PubMed
概括

这项研究引入了一种序列学习框架,用于预测由于盐水入侵而超过化物的月度小时. 新模型提供了准确的12个月的预测时间,大大改善了现有方法.

关键词:
长期预测 长期预测一个月的规模,一个月的规模.周期性 周期性是指周期性.盐水的入侵 盐水的入侵序列学习的学习顺序.

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