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五孔探针的神经网络处理方法
Five-hole probe and its neural network algorithm
【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.
【Abstract】 Data reduction methods for five-hole probe are investigated and a new method based on artificial neural network is developed.The developed method is then compared with a three-dimensional linear interpolation one.Conclusion is drawn that the neural network method is superior to the interpolation one in accuracy and robustness.The new developed method is also applicable to multi-hole probe through minor modifications.
【关键词】 五孔探针;
数据处理;
人工神经网络;
精确度;
【Key words】 five-hole probe; data reduction; neural network; accuracy;
【Key words】 five-hole probe; data reduction; neural network; accuracy;
- 【文献出处】 航空动力学报 ,Journal of Aerospace Power , 编辑部邮箱 ,2010年02期
- 【分类号】TP183
- 【被引频次】14
- 【下载频次】426