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FOA-Based SVM Parameter Optimization and Its Application in Ship Manoeuvring Prediction |
WANG Xueganga,ZOU Zaojiana,b |
(a.School of Naval Architecture, Ocean and Civil Engineering; b.State Key Laboratory of Ocean Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
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Abstract The fruit fly optimization algorithm (FOA) was applied to optimize the parameters of ε-support vector machine (εSVM). 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.
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Received: 13 August 2012
Published: 13 August 2012
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