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

DOI

10.2991/iceeecs-16.2016.32How to use a DOI?

Keywords

BP neural network; rural highway; GA

Abstract

Using genetic algorithm to optimize BP neural network can solve the problem of slow training speed of BP neural network and easy to fall into local minimum points. GA-BP neural network model for forecasting rural highway flood destruction can realize the effective combination of global optimization and local optimization, greatly improving the learning performance and the convergence of flood destruction forecast model. It is proved that the GA-BP neural network has fast calculation speed, and excellent flood destruction forecast function for 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 GA-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  - 143
EP  - 148
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.32
DO  - 10.2991/iceeecs-16.2016.32
ID  - Wang2016/12
ER  -