DocumentCode :
3696017
Title :
Prediction of Torpedo Initial Velocity Based on Random Forests Regression
Author :
Pukai Wang;Tianyuan Jiang;Gehua Fan;Caihong Dan
Author_Institution :
Inst. of Nonlinear Sci., Acad. of Armored Force Eng., Beijing, China
Volume :
1
fYear :
2015
Firstpage :
337
Lastpage :
339
Abstract :
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.
Keywords :
"Predictive models","Regression tree analysis","Fitting","Vegetation","Training","Trajectory","Valves"
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2015 7th International Conference on
Print_ISBN :
978-1-4799-8645-3
Type :
conf
DOI :
10.1109/IHMSC.2015.17
Filename :
7334717
Link To Document :
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