Aerodynamic derivatives identification for ground vehicles in crosswind using neural network and PCA

Principal component analysis (PCA) is employed in this study to reduce the size of the neural network input node. Neural network is used to identify the ground vehicle aerodynamic derivatives based on a recorded simple harmonic motion of a ground vehicle model. The study involves the identification...

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Main Authors: Ramli, Nabilah, Jamaluddin, Hishamuddin, Mansor, Shuhaimi, Faris, Waleed Fekry
格式: Article
语言:English
出版: Inderscience Enterprises Ltd. 2010
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在线阅读:http://irep.iium.edu.my/4564/4/Aerodynamic_derivatives_identification_for_ground.pdf
http://irep.iium.edu.my/4564/
http://www.inderscience.com/search/index.php?action=record&rec_id=33731
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