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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Inderscience Enterprises Ltd.
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/49833/ http://irep.iium.edu.my/49833/ http://irep.iium.edu.my/49833/ http://irep.iium.edu.my/49833/1/Aerodynamic_derivatives_identification_for_ground_vehicles_in_crosswind_using_neural_network_and_PCA.pdf |