涡扇发动机部件特性的BP网络研究
A Study of Turbofan Component Characteristics Based on Back-Propagation Network
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摘要: 在发动机特性计算中,建立了BP神经网络对部件特性数据进行识别学习,实现了特性数据的精确插值和对未知特性数据的推测。通过对网络输出结果的检验与分析,表明该方法精确实用。Abstract: In jet engine characteristic computing,Back-Propagation network model was established to study and identify the data of engine component characteristics.Consequently,accurate interpolation of characteristic data and speculation on the unknown characteristic data were achieved.The checkout and analysis of network's output results showed that the present model has better practicability and veracity.
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