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Application of Neural Networks for Flight Simulation

机译:神经网络在飞行模拟中的应用

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摘要

Application of neural networks for direct prediction of lateral-directional force and moments coefficients from the measured flight data of the research aircraft is proposed in this paper. Proposed model of neural networks appears to be a suitable practical approach to develop relationship between flight variables. This relationship eliminates the need of aerodynamic model as well as thrust model to develop accurate flight simulation software for the aircraft. The validation of proposed feed forward neural networks based technique is done with simulated as well as measured flight data of the aircraft.
机译:本文提出了神经网络在横向 - 方向力直接预测中的应用,以及研究飞行器的测量飞行数据的瞬间系数。建议的神经网络模型似乎是一种合适的实用方法,可以在飞行变量之间发展关系。这种关系消除了空气动力学模型以及推力模型的需要,为飞机开发准确的飞行模拟软件。基于馈送前向神经网络的验证是基于模拟的和飞机的测量飞行数据完成的。

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