Five-hole probe and its neural network algorithm

Hong Wei Wang; Xiao Long Chen

Five-hole probe and its neural network algorithm

Hong Wei Wang^*
, Xiao Long Chen

^*此作品的通讯作者

能源与动力工程学院

Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

9 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	417-423
页数	7
期刊	Hangkong Dongli Xuebao/Journal of Aerospace Power
卷	25
期	2
出版状态	已出版 - 2月 2010

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title = "Five-hole probe and its neural network algorithm",

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.",

keywords = "Accuracy, Data reduction, Five-hole probe, Neural network",

author = "Wang, \{Hong Wei\} and Chen, \{Xiao Long\}",

year = "2010",

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T1 - Five-hole probe and its neural network algorithm

AU - Wang, Hong Wei

AU - Chen, Xiao Long

PY - 2010/2

Y1 - 2010/2

N2 - 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.

AB - 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.

KW - Accuracy

KW - Data reduction

KW - Five-hole probe

KW - Neural network

UR - https://www.scopus.com/pages/publications/77950345055

M3 - 文章

AN - SCOPUS:77950345055

SN - 1000-8055

VL - 25

SP - 417

EP - 423

JO - Hangkong Dongli Xuebao/Journal of Aerospace Power

JF - Hangkong Dongli Xuebao/Journal of Aerospace Power

IS - 2

ER -

Five-hole probe and its neural network algorithm

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