Calculation of aircraft lever-float valves using neural networks

D. Pushkarev, D. Y. Kiselev, Y. Kiselev
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Abstract

The possibility of using neural networks in aviation is shown, in particular in products intended for use in aviation technology. The possibility of using neural networks throughout the entire life cycle of aviation equipment products is analyzed. The advantages that can be obtained using neural networks are described. The main stages of creating a neural network model are analyzed and a description of each stage is presented. The difficulties associated with the practical application of models based on artificial intelligence are shown. The calculation of the operation of a lever-float valve is presented and a neural network model is made for its calculation using real operation and test data.
飞机杠杆浮阀的神经网络计算
展示了在航空中使用神经网络的可能性,特别是用于航空技术的产品。分析了将神经网络应用于航空装备产品全生命周期的可能性。描述了使用神经网络可以获得的优势。分析了神经网络模型建立的主要阶段,并对各个阶段进行了描述。指出了基于人工智能的模型在实际应用中的困难。对杠杆浮阀的运行进行了计算,并利用实际运行数据和试验数据建立了计算的神经网络模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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