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Prediction of Torpedo Initial Velocity Based on Random Forests Regression

机译:基于随机森林回归的鱼雷初始速度预测

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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.
机译:通过采用随机森林回归法,建立了鱼雷发射时鱼雷初始速度的预测模型,并获得了可变的重要性。该模型与实测值相比具有较高的拟合精度,表明随机森林回归是估算鱼雷内部轨迹特征参数的有效方法。

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