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Principal component analysis is introduced to a multilayer neural network application to identify the ground vehicle aerodynamic derivatives. The main aim is to reduce the size of neural network input nodes while maintaining the neural network's accuracy. The design process is carried out using simulated data based on an equivalent system's dynamics and the designed neural network then is applied...
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