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基于神经网络的电视遥控制导导弹损失率预测 被引量:2

Loss Probability Forecast of Television Controlled Missiles Based on Neural Network
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摘要 根据电视遥控制导导弹作战使用特点,分析了影响其作战使用的主要天气因素,建立了神经网络预测模型。作战部门可依据战场天气条件对导弹的使用效果迅速做出预测,并跟据预测结果做好应对工作,提高导弹的使用效率。 According to the operational application features of missiles controlled remotely by television, the primary weather factors that have effect on its combat use were analyzed, and the neural network forecast model was constructed. The campaign department can quickly forecast the operational effectiveness of missiles according to the battlefield weather status, and take precautions on the basis of forecast result for improving operational efficiency of missiles.
出处 《电光与控制》 北大核心 2009年第6期89-92,共4页 Electronics Optics & Control
基金 军队重点科研项目基金(KJ06085)
关键词 电视遥控制导导弹 神经网络 损失率 预测 television controlled missile neural network loss probability forecast
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