Research on flood destruction forecast of Western Zhejiang rural highway based on BP neural network method

被引：0

作者：

Wang Baofeng ^{[1
]}

机构：

[1] Quzhou Univ, Quzhou 324000, Peoples R China

来源：

PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONICS ENGINEERING AND COMPUTER SCIENCE (ICEEECS 2016) | 2016年 / 50卷

关键词：

flood destruction; BP neural network; rural highway; side slope;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Since there exists a very complex nonlinear relation between Western Zhejiang rural highway flood destruction and its influencing factors, this paper chooses 6 main factors influencing the flood destruction. Establish Zhejiang rural highway BP neural network model through MATLAB neural network toolbox; through learning a large number of survey data and combining practical examples, based on BP neural network model for the flood destruction forecast of Western Zhejiang rural highway, the forecast on Western Zhejiang rural highway flood destruction is feasible, and plays important role in exploring the flood destruction forecast of Western Zhejiang rural highway.

引用

页码：153 / 158

页数：6