Neural network and PSO-based structural approximation analysis for blade of wind turbine
by Lei Wang; Pin Hu; Jingui Lu; Fengxin Chen; Qi Hua
International Journal of Modelling, Identification and Control (IJMIC), Vol. 18, No. 1, 2013

Abstract: Structural approximation analysis is important for optimisation design of blade of wind turbine. The neural network is applied to construct the model of structural approximation analysis for blade of wind turbine in this paper. The approximation analysis on the blade of wind turbine can be performed based on the model of neural network. The back-propagation algorithm and particle swarm optimisation algorithm are applied to train the patterns of approximation analysis for blade of wind turbine, and the neural network-based model can be obtained in this paper. The training procedure of constructing the model of neural network via back-propagation algorithm and particle swarm optimisation algorithm will be discussed in this paper. The numerical example will be given finally in this paper.

Online publication date: Thu, 31-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com