Development of artificial neural network model in predicting performance of the smart wind turbine blade

• Main Authors: Supeni, Eris Elianddy, Epaarachchi, Jayantha Ananda, Islam, Md Mainul, Lau, Kin Tak
• Format: Article
• Language: English
• Published: Universiti Malaysia Pahang Publisher 2014
• Online Access: http://psasir.upm.edu.my/id/eprint/37062/1/Development%20of%20artificial%20neural%20network%20model%20in%20predicting%20performance%20of%20the%20smart%20wind%20turbine%20blade.pdf; http://psasir.upm.edu.my/id/eprint/37062/; http://jmes.ump.edu.my/index.php/archive/volume-6-june-2014.html
• Institution: Universiti Putra Malaysia

This paper demonstrates the applicability of artificial neural networks (ANNs) that use multiple bck-propagation networks (MBP) and a non-linear autoregressive exogenous model (NARX) for predicting the deflection of a smart wind turbine blade specimen. A neural network model has been developed to pe...