摘要
为解决军用物资消耗问题,设计了基于小波神经网络的军用物资消耗量预测模型,运用MATLAB仿真实现算例,并对小波神经网络的预测值进行检验。结果表明:该模型能有效消除现实环境中的不确定因素对军用物资消耗预测的影响,控制预测值和实际值之间的误差,实现对军用物资消耗量相对准确的预测。
In this paper, we designed a military material consumption forecasting mode based on the wavelet neural network, used the MATLAB simulation program to realize a numerical example and tested the forecasting result obtained using the wavelet neural network which was found to be capable of eliminating the influence of uncertain factors on the forecasting process and obtaining relative accurate forecasting result.
出处
《物流技术》
北大核心
2014年第1期368-370,共3页
Logistics Technology
