| 五孔探针的神经网络处理方法 |
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| 引用本文： | 王洪伟,陈小龙.五孔探针的神经网络处理方法[J].航空动力学报,2010,25(2):417-423. |
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| 作者姓名： | 王洪伟 陈小龙 |
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| 作者单位： | 北京航空航天大学,能源与动力工程学院航空发动机气动热力科技重点实验室,北京,100191 |
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| 摘 要： | 对于五孔探针的数据处理方法就行了详细的研究,发展了一种人工神经网络的数据处理方法,并将其与三维线性插值法进行了全面的对比,证明了所发展的神经网络法的精度更高,可靠性更好,而且经过简单改动就可以应用在其他多孔探针上.
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| 关 键 词： | 五孔探针 数据处理 人工神经网络 精确度 |
| 收稿时间： | 1/15/2009 5:06:29 PM |
| 修稿时间： | 4/15/2009 1:39:30 PM |
Five-hole probe and its neural network algorithm |
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| WANG Hong-wei and CHEN Xiao-long.Five-hole probe and its neural network algorithm[J].Journal of Aerospace Power,2010,25(2):417-423. |
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| Authors: | WANG Hong-wei and CHEN Xiao-long |
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| Institution: | Beijing University of Aeronautics & Astronautics,Beijing University of Aero & Astro, School of Jet Propulsion |
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| Abstract: | Data reduction methods for five-hole probes are investigated and a new method based on artificial neural network is developed. The developed method is then evaluated against a three dimensional linear interpolation one. Conclusion is achieved that the neural network method is superior over the interpolation one in accuracy and in robustness. The new developed method is also applicable to multi-hole probes through minor modifications. |
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| Keywords: | five-hole probe data reduction neural network accuracy |
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