节点文献
采用BP网络辨识航空发动机数学模型
AEROENGINE MODEL IDENTIFICATION WITH BACK-PROPAGATION NEURAL NETWORKS
【摘要】 运用BP网络和实测数据作为学习样本,对某型航空发动机的数学模型进行了辨识研究。辨识模型输出的结果与实测数据比较误差较小。这种方法收敛速度快、精度高,结果表明用BP网络辨识方法能够得到比较精确的发动机数学模型。
【Abstract】 Identification of aeroengine model is investigated with Back-Propagation neural networks,when the test data of an aeroengine are taken for learning samples of the networks.The various states of the aeroengine are identified.The investigation shows that the deviation of the network outputs from flight data is very small.The precision and convergence speed of the identification is quite high.
- 【文献出处】 航空动力学报 ,JOURNAL OF AEROSPACE POWER , 编辑部邮箱 ,1996年02期
- 【分类号】V231
- 【被引频次】29
- 【下载频次】249