Intelligent Prediction Method for Water Level Field in Culvert Diversion Based on MLP-AttnRF Fusion Model

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

更新时间：2026-01-13

- Intelligent Prediction Method for Water Level Field in Culvert Diversion Based on MLP-AttnRF Fusion Model
- “In the field of culvert diversion engineering, researchers have proposed the MLP AttnRF model, which enables rapid prediction of the water level field inside the culvert based on flow rate, greatly improving prediction efficiency and cost advantages.”
- PEARL RIVER Pages: 1-7(2026)
- 作者机构：
  
  1.中国铁建港航局集团有限公司，广东珠海 519000
  2.大连理工大学，辽宁大连 116024
- 作者简介：
- 基金信息：
- DOI：
  CLC： TV551.1⁺2
- Received：29 October 2025，
  
  Revised：2025-12-12，
  
  Accepted：22 December 2025，
  
  Published Online：13 January 2026，
- 稿件说明：
移动端阅览
罗楚遥，敖雪茹，刘思笛等.基于MLP-AttnRF融合模型的涵管导流水位场智能预测方法［J］.人民珠江，DOI：10.3969/j.issn.1001-9235.XXXX.XX.001.

LUO Chuyao,AO Xueru,LIU Sidi,et al.Intelligent Prediction Method for Water Level Field in Culvert Diversion Based on MLP-AttnRF Fusion Model[J].PEARL RIVER,
罗楚遥，敖雪茹，刘思笛等.基于MLP-AttnRF融合模型的涵管导流水位场智能预测方法［J］.人民珠江，DOI：10.3969/j.issn.1001-9235.XXXX.XX.001. DOI：

LUO Chuyao,AO Xueru,LIU Sidi,et al.Intelligent Prediction Method for Water Level Field in Culvert Diversion Based on MLP-AttnRF Fusion Model[J].PEARL RIVER, DOI：10.3969/j.issn.1001-9235...001.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Rapid and Accurate Acquisition of Equivalent Economic Scale in Flood Protection Area Based on Multi-source Big Data

Monitoring Method for Road Waterlogging Based on Improved YOLOv8

Drought Prediction Model of Pearl River Basin Based on SST and Machine Learning

Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning

Related Author

QIN Yan

JI Hongxiang

CAI Jihong

ZHOU Xiaoxin

XU Zhangfan

ZHENG Yong

ZHANG Zheng

WANG Mengqian

Related Institution

Guangdong Provincial Science and Technology Collaborative Innovation Center for Water Safety

Guangdong Provincial Key Laboratory of Hydrodynamics Research

Guangdong Research Institute of Water Resources and Hydropower

MWR General Institute of Water Resources and Hydropower Planning and Design

School of Water Resources and Hydropower, Hebei University of Engineering

AI导读

AI问答

⁰