BDAR Time Assessment Model Based on Weighted Support Vector Regress Machine
You Zhi-fen · Modern Defence Technology · 2014
The existing time assessment model for rush repair time are all based on the maintenance in peace time. It cannot reflect the random,timeless and multiform of battlefield damage assessment and repair( BDAR). The influence factors of BDAR task were analyzed and the assignment method was given. The task complexity is a substitute for the task's essence. Then the BDAR time assessment can be transformed to the regress of BDAR task complexity vector and its time. To deal with its small sample,nonlinear characteristic,the support vector regress machine was introduced. And the genetic arithmetic was applied to optimize the parameters of SVR model. The veracity is well proved by the instance. At last the BDAR time can be assessed on a new concept,and it can help the BDAR decision and training simulation.