| 涡扇发动机部件特性的BP网络研究 |
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| 引用本文： | 陈策,李军. 涡扇发动机部件特性的BP网络研究[J]. 航空动力学报, 2004, 19(1): 61-64 |
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| 作者姓名： | 陈策 李军 |
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| 作者单位： | 空军工程大学,工程学院,陕西,西安,710038;空军工程大学,工程学院,陕西,西安,710038 |
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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。
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| 关 键 词： | 航空、航天推进系统 发动机特性计算 部件特性 后传播网络 |
| 文章编号： | 1000-8055(2004)01-0061-04 |
| 收稿时间： | 2003-04-14 |
| 修稿时间： | 2003-04-14 |
A Study of Turbofan Component Characteristics Based on Back-Propagation Network |
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| CHEN Ce and LI Jun. A Study of Turbofan Component Characteristics Based on Back-Propagation Network[J]. Journal of Aerospace Power, 2004, 19(1): 61-64 |
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| Authors: | CHEN Ce and LI Jun |
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| Affiliation: | Air Force Engineering University, Xi'an710038, China |
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| 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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| Keywords: | aerospace propulsion system engine characteristic computing engine components characteristic Back-Propagation network |
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