中国防汛抗旱2026，Vol.36Issue(4)：35-40,6.DOI:10.16867/j.issn.1673-9264.2025407
基于BP神经网络的在建水利工程度汛安全评价模型
Flood safety evaluation model for under-construction water conservancy projects based on BP neural network
郭秀琴 1储善鹏 1陈素明 1王浩然1
作者信息
- 1. 浙江省水利防汛技术中心,杭州 310016
- 折叠
摘要
Abstract
To enhance the intelligence level of flood safety evaluation for water conservancy projects under construction,an intelligent evaluation model for flood safety status of water conservancy projects under construction based on Back Propagation(BP)neural network was constructed.This model considers a multidimensional indicator system and utilizes the learning ability of BP neural network for nonlinear problems.Through training with actual engineering case data,it predicts and analyzes the flood safety level of water conservancy projects under construction.The research results indicate that the maximum relative error of the model's prediction results is within 4%,demonstrating good generalization ability and effectively assisting water administrative authorities and engineering participating units in quickly conducting flood safety evaluations.This study can provide reference for the intelligent management of flood safety in water conservancy projects under construction.关键词
在建水利工程/度汛安全/BP神经网络/评价模型/样本预测Key words
under-construction water conservancy projects/flood safety/BP neural network/evaluation model/sample prediction分类
建筑与水利引用本文复制引用
郭秀琴,储善鹏,陈素明,王浩然..基于BP神经网络的在建水利工程度汛安全评价模型[J].中国防汛抗旱,2026,36(4):35-40,6.
