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