CAJ | 학술논문

　　确定合理的军事物流设施规模对于成功实施军事后勤保障十分重要。提出了基于RBF神经网络的军事物流设施规模预测模型的建模方法，该方法旨在确定军事物流设施规模与其影响因素之间的非线性关系；采用算例说明了基于RBF神经网络的军事物流设施规模预测的具体做法，对军事物流设施规模的确定具有指导意义。
　　학정합리적군사물류설시규모대우성공실시군사후근보장십분중요。제출료기우RBF신경망락적군사물류설시규모예측모형적건모방법，해방법지재학정군사물류설시규모여기영향인소지간적비선성관계；채용산례설명료기우RBF신경망락적군사물류설시규모예측적구체주법，대군사물류설시규모적학정구유지도의의。
It is important for successfully implementing the military logistics support to determine the reasonable facilities scale of military logistics. This paper puts forward the modeling method for prediction of military logistics facilities scale based on RBF neural network. The purpose of this method is for determining the nonlinear relationship between military logistics facilities scale and its related influence factors. Detailed operations of ascertaining facilities scale of military logistics have been illustrated by usage of an example. This method is a guidance for determining the military logistics facilities scale.