应用神经网络评估舰载武器系统作战效能

Evaluation of Ship-borne Weapons Efficiency by ANN Model

为评估水面舰艇舰载武器系统作战效能,最大程度地提高舰艇整体作战能力,采用神经网络评估舰载武器系统的作战效能,按照建立BP网络模型、设计模型结构及确定训练样本的步骤,实现神经网络评估模型创建的全过程。该模型把各个评估指标作为输入,通过历史数据的训练确定神经网络输入、输出的对应关系,从而得出系统的效能值。神经网络评估模型可动态地评估舰载武器系统的作战效能,其评估过程确定的各指标项相互关系能很好地指导舰载武器的战术使用。

For evaluating ship-borne weapons efficiency, exerting the most of its efficiency and improve the vessel＇s capability in battlefield. The ANN model is set up according to the process of establishing BP model, designing the model structure and defining the samples used to be trained in the model. Therefore, it makes use of history data to confirm the corresponding connection between inputs and output, based on which, we can achieve the system＇s efficiency, and can make sure the indexes＇ relationship to draw the best tactics arrangement. Key words： carrier weapons; ANN： efficiency evaluating; training samples