Prediction of Torpedo Initial Velocity Based on Random Forests Regression

IHMSC '15 Proceedings of the 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 01(2015)

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摘要
By adopting random forests regression, a prediction model of torpedo initial velocity at launching torpedo is built and variable importance is achieved in this paper. Compared with the measured values, the model has high fitting precision, which shows that random forests regression is an effective way to estimate the Eigen parameter of torpedo interior trajectory.
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prediction
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