军事物流预测方法研究

基于实现精确保障的最终目标，提出了军事物流预测的概念：论述了军事物流预测的意义，明确了军事物流预测的程序：对当前军事物流预测各种方法进行了对比分析，提出基于BP神经网络的组合预测方法。将不同预测模型的预测结果有机结合起来，相互取长补短，达到提高预测精度和增加预测结果可靠性的效果：用实例进行验证，证明甩组合预测的方法效果较好。

Research on the Methods of Military Logistics Forecast

In order to realize the goal of accurate supply,the paper puts forward the concept of the military logistics forecast.Then explains the sense and procedure of the forecast.The paper compares the current forecast models and introduces the combination forecast model based on BP neural network,integrates these models and merit from them,then reaches the goal of enhancing the precision and stability of forecast results.At last using an example tests the model and proves its feasibility.