An Algorithm of Turbulence Wavenumber Spectrum Matching Based on SVM

Yong Fang Wang; Xin Luan; Da Lei Song; Li Ping Chen

doi:10.4028/www.scientific.net/AMR.850-851.880

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 850-851An Algorithm of Turbulence Wavenumber Spectrum...

An Algorithm of Turbulence Wavenumber Spectrum Matching Based on SVM

Abstract:

Considering the problem of invalid data caused mismatch of wavenumber spectrum which contained in turbulence observation data, an algorithm of turbulent wavenumber spectrum matching based on SVM is proposed. Category labels are obtained from pre-processed raw data by cross validation algorithm, and then the optimum parameters of the classifier are got through SVM learning algorithm. Sea trial data validation results indicate that the algorithm has high matching accuracy, and provides a new way to calculate the turbulence wavenumber spectrum matching.

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Periodical:

Advanced Materials Research (Volumes 850-851)

Pages:

880-883

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.850-851.880

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Online since:

December 2013

Authors:

Yong Fang Wang, Xin Luan, Da Lei Song*, Li Ping Chen

Keywords:

Cross Validation, Data Pre-Processing, SVM, Wavenumber Spectrum

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* - Corresponding Author

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