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Updated: Jul 23, 2026

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多分辨率自适应通道融合变压器编码器LSTM用于准确的流量预测

Sina Apak1, Huseyin Cagan Kilinc2, Adem Yurtsever3

  • 1Department of Management Information Technology, Istanbul Aydın University, Istanbul, Turkey.

Scientific reports
|February 21, 2026
PubMed
概括

一个新的混合深度学习模型,MR-ACF-TE-LSTM,通过捕获多尺度时间模式,显著提高了流量预测的准确性. 这种先进的框架通过增强的水文预测提供了更好的水资源管理和洪水缓解.

关键词:
适应性核聚变是一种深度学习是一种深度学习.这是LSTM的LSTM.多个分辨率的多个分辨率.流的流量 流的流量

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