Development and Design of Forensic Expert System in Bridge Engineering

DOI

10.2991/icence-16.2016.79How to use a DOI?

Keywords

Bridge Engineering; Forensic Expert system, Neural Network, Engineering Forensic; System model.

Abstract

Considering the complication of impact factor in the bridge engineering identification, it is regarded as an inverse problem and the neural network method is applied to avoid the difficulty caused by the uncertainty of the system. The data model and neural network simulation model of the bridge engineering system are set with the application of VFP and MATLAB respectively. By the positive connection of the two key models and other assisted model, the collection of data, simulation of system and identification analysis are conducted to provide an open, friendly and safe platform for the completion of information and the network practice.

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/).

Download article (PDF)

TY  - CONF
AU  - Li Lin
AU  - Dandan Xia
AU  - Haitao Hu
AU  - Xiangmin Zhang
AU  - Fuqiang He
PY  - 2016/09
DA  - 2016/09
TI  - Development and Design of Forensic Expert System in Bridge Engineering
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 410
EP  - 415
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.79
DO  - 10.2991/icence-16.2016.79
ID  - Lin2016/09
ER  -