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

DOI

10.2991/iceeecs-16.2016.34How to use a DOI?

Keywords

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

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Baofeng Wang
PY  - 2016/12
DA  - 2016/12
TI  - Research on flood destruction forecast of Western Zhejiang rural highway based on BP neural network method
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 153
EP  - 158
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.34
DO  - 10.2991/iceeecs-16.2016.34
ID  - Wang2016/12
ER  -