Research on the Application of Neural net in the Civil Engineering Semi-active Control

DOI

10.2991/meici-15.2015.264How to use a DOI?

Keywords

Civil engineering; Semi-active control; Radial basis function neural network (RBFNN); Magneto-rheological damper/MR damper

Abstract

Earthquake poses serious hazard to human life and property security. Civil engineering structural vibration control especially the semi-active control can effectively reduce the earthquake damage to architecture. Neural network control has the ability of self-learning, adaptivity and parallel distributed processing capacity, and it is a new kind of control method. Especially the radial basis function neural network (RBFNN) has the feature of fast convergence rate and high precision, so the application of RBFNN in semi-active control of civil engineering structure has great significance to damping. The paper applied the RBFNN in the semi-active control of civil engineering structure, designed neutral network controller, and made simulated and comparative analysis on the damping effect.

Copyright

© 2015, 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  - Xianglan Li
AU  - Li Guo
PY  - 2015/06
DA  - 2015/06
TI  - Research on the Application of Neural net in the Civil Engineering Semi-active Control
BT  - Proceedings of the 2015 International Conference on Management, Education, Information and Control
PB  - Atlantis Press
SP  - 1515
EP  - 1521
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-15.2015.264
DO  - 10.2991/meici-15.2015.264
ID  - Li2015/06
ER  -