ULS-SVM Prediction Model of Missile Guidance and Control Systems Based on D-S Evidence Theory

doi:10.3969/j.issn.1000-1093.2015.08.013

Abstract

Abstract: For intense electronic equipment in missile guidance and control systems, coupling relationship among feature parameters and low prediction accuracy of traditional least squares support vector machine（LS-SVM），the traditional LS-SVM is improved by analyzing the temporal correlation and spatial correlation of feature parameters. Traditional LS-SVM and improved LS-SVM are fused by taking advantage of D-S evidence theory. An unification of least squares support vector machine（ULS-SVM）prediction model is established. The key parameters are predicted by taking missile guidance and control systems as an example. The results show that the proposed ULS-SVM prediction model is rational and effective.

Key words: ordnance science and technology, D-S evidence theory, missile, prediction model, least squares support vector machine

CLC Number:

TJ760

CONG Lin-hu， XU Ting-xue， GOU Kai. ULS-SVM Prediction Model of Missile Guidance and Control Systems Based on D-S Evidence Theory[J]. Acta Armamentarii, 2015, 36(8): 1466-1472.

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