关键词: 目标威胁评估, 模型, 算法, Elman_-AdaBoost

Abstract: Target threat assessment is the key issue in the collaborative multi-target attack.To improve the accuracy and usefulness of target threat assessment in the aerial combat,a target threat assessment model and algorithm based on Elman_-AdaBoost strong predictor is proposed.Firstly,Elman_-AdaBoost strong predictor is introduced;secondly,a target threat assessment model based on Elman_-AdaBoost strong predictor is established;at last,an algorithm is described.There are 75 data sets culled for the simulation experiments,in which 60 sets are considered as training set,and the other 15 are testing sets.The number of hidden layer nodes of Elman network and weak predictors is selected L=7,11,14,18 and K=6,10,16,20 respectively for experiment and results show that,the prediction error for Elman_-AdaBoost strong predictor algorithm is much smaller than the weak predictor and the error reaches the minimum when L=7 and K=6.The model and algorithm have good predictive ability,so it can quickly and accurately complete target threat assessment.

Key words: target threat assessment, model, algorithm, Elman_-adaptive boosting