神经网络的智能雷战斗部总体效能评价研究

建立了反直升机智能雷战斗部系统总体效能的评价体系.对各种评价方法进行了分析,这些方法都是以判断矩阵为核心,仍然显著地受决策者的主观影响.对应用人工神经网络技术解决反直升机智能雷战斗部系统总体效能评价问题进行了探讨,给出了神经网络评价模型和算法.对层次TCPSIS法评价结果与神经网络评价结果进行比较,结果表明神经网络的评价结果受决策者的主观性影响较小.

Study on Overall Efficiency Evaluation of Smart Mine Warheads Based on Neural Network

In this paper, the evaluation system of smart ammunition warhead overall efficiency has been established, and all kinds of evaluation methods have been analyzed. The methods take judgement matrix as the center and have remakably dependence on the subjectivity of decision maker. The problems of the overall efficiency evaluation of anti helicopter smart mine warheads are discussed, where the techniques on artificial neural networks are used. The evaluation model and algorithm of neural network have been given out. By comparing the evaluation result on method of hierarchical TOPSIS with that of neural network, the evaluation results show that the evaluation result based on neural network has less dependence on the subjectivity of decision maker.