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基于D-S理论的神经网络作战效能预测方法 被引量:2

Prediction Method of Operational Effectiveness Using Neutral Network based on D-S Theory
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摘要 提出一种基于D-S理论的神经网络预测方法,采用改进的证据理论对作战效能预测指标体系进行优化选取,降低了由于预测指标体系的模糊性和不确定性造成误差;在此基础上,建立基于Elman网络的作战效能预测模型,通过对作战效能的预测仿真及测试,验证了该方法的可行性和优越性。 One kind of operational effectiveness prediction method of neutral network based on D-S theory is proposed in this paper,using improved D-S evidence theory to obtain optimization index system of operational prediction,which reduces the error caused by un-integrality and indefinite of prediction index system.On the basic of it,the model of operational prediction evaluation of Elman neutral network was set up.Through simulating and testing,the result proves the feasibility and superiority of this method.
出处 《火力与指挥控制》 CSCD 北大核心 2010年第4期150-154,共5页 Fire Control & Command Control
基金 北京市教委科技基金资助项目(KM200810011003)
关键词 作战效能预测 证据理论 ELMAN网络 operational effective prediction evidence theory Elman network
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