Wind Load Time-History Simulation Study Based on Neural Network

Abstract:

Article Preview

In this paper, on the basis of the existing research and Matlab, scientific computing software, and through the characteristics of the artificial neural network theory, it presents artificial simulation of wind loads which are set up by BP neural network, and it mainly consists of the preparation of sample set, the certainty of network layer and hidden nodes, and the selection of activation functions and training methods. Based on Matlab and the neural network toolbox, it carries out the constriction, training and testing of neural network. According to the simulation of five different positions of horizontal wind speed time, it proves that the artificial neural network term wind loads simulation models are effective in practical application.

Info:

Periodical:

Advanced Materials Research (Volumes 163-167)

Edited by:

Lijuan Li

Pages:

4378-4384

DOI:

10.4028/www.scientific.net/AMR.163-167.4378

Citation:

W. B. Hu and Q. Li, "Wind Load Time-History Simulation Study Based on Neural Network", Advanced Materials Research, Vols. 163-167, pp. 4378-4384, 2011

Online since:

December 2010

Authors:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.