摘要
针对机载导弹部署后期与备件有关的各项保障数据比较充足的情况,在进行备件需求量影响因素分析和量化的基础上,应用BP神经网络模型对其进行了预测。仿真结果表明,充分利用了各有用数据,能有效提高预测的可靠性和准确性。
For circumstance that support information about air-launched missile spare being fairly comprehensive at the evening of missile deployment, after analyzing and quantizing influencing factor of spare demand, BP-NN forecast model was used for the prediction. It is shown that BP neural network model make use of various data and can effectively improve reliability and accuracy of forecasting.
出处
《海军航空工程学院学报》
2010年第4期457-461,共5页
Journal of Naval Aeronautical and Astronautical University
基金
军队预研项目
