FOA-Based SVM Parameter Optimization and Its Application in Ship Manoeuvring Prediction

Abstract

Abstract:

The fruit fly optimization algorithm (FOA) was applied to optimize the parameters of ε-support vector machine (εSVM). By using the ε-SVM, a black-box model for predicting the ship manoeuvring motion was established and applied to predict the zig-zag tests. The validity of the proposed algorithm was verified by comparing the predicted results with the simulation data. It is shown that the proposed algorithm is simple, convenient and effective.

Key words: ship manoeuvring prediction; , fruit fly optimization algorithm(FOA), support vector machine(SVM), parameter optimization

CLC Number:

U 661.33

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WANG Xueganga,ZOU Zaojiana,b. FOA-Based SVM Parameter Optimization and Its Application in Ship Manoeuvring Prediction[J]. Journal of Shanghai Jiaotong University, 2013, 47(06): 884-888.

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URL: https://xuebao.sjtu.edu.cn/EN/

https://xuebao.sjtu.edu.cn/EN/Y2013/V47/I06/884

References

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