The Consumption Rules of Certain Weapon System Maintenance Materials Based on GA-SVR Model
CAO Hui
HUANG Shaoluo
KANG Xibing
YAO Yuan
Abstract：Support Vector Regressions (SVR) can be used to forecast the historical consumption data of a certain weapon system's maintenance materials according to its consumption characteristics .Aiming to solve the difficult problem of determining pa-rameters of SVR model ,Genetic Algorithm(GA) is applied to optimize the three parameters of SVR model .The simulation result presents that GA-SVR model is effective for the consumption rule of certain weapon system's maintenance materials .
Keywords：weapon systemsupport vector regressionsgenetic algorithmmaintenance materialsconsumption rules
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 1823-1826 )