基于RBF网络的武器装备贮存可靠性预估

Research on Storage Reliability Forecasting Method of Weapon Equipment Based on RBF Network

为减少武器状态在贮存期间的检测次数,提高战备完好率,基于RBF神经网络对武器装备贮存可靠性预估方法进行研究。针对武器装备贮存可靠性预估的问题,借助于神经网络可实现非线性映射的特点,基于RBF网络对某型装备贮存可靠性变化规律进行预测,并给出了预估步骤。预测结果表明,RBF网络适用于武器装备贮存可靠性的预估,预测误差满足要求。

For reducing detection times of weapon and equipment in storage, improve equipment complete rate, research on storage reliability forecasting method of weapon and equipment based on radial basis function （RBF） neutral network. Aiming at the problem of weapon equipment storage reliability forecasting, realize nonlinear mapping take neural network. Based on RBF network to forecast certain type equipment storage reliability changing principle and put forwards forecasting steps. The forecasting results show that RBF network is used for forecasting of weapon and equipment storage reliability, forecasting error meet requirements.