CAJ | 학술논문

针对战时航材需求的不确定性特点,采用神经网络与模糊逻辑相结合的方法,分别进行了战时航材需求基本量和战伤需求的预测。在战伤预测中将建模仿真预测和专家经验采用模糊逻辑相结合,既体现了建模仿真对战伤航材需求的预测,又体现了专家经验的重要性。根据具体情况进行了战场严酷度系数的确定,给出了战时航材需求预测的模型,提高了战时航材需求的预测精度。
침대전시항재수구적불학정성특점,채용신경망락여모호라집상결합적방법,분별진행료전시항재수구기본량화전상수구적예측。재전상예측중장건모방진예측화전가경험채용모호라집상결합,기체현료건모방진대전상항재수구적예측,우체현료전가경험적중요성。근거구체정황진행료전장엄혹도계수적학정,급출료전시항재수구예측적모형,제고료전시항재수구적예측정도。
To deal with the various demand uncertainties during the wartime,the neural network and fuzzy reasoning have been combined to forecast the basic demand and the battle-scarred demand.A new fuzzy Inference based demand forecasting method is presented,in which modeling and simulation forecasting value and expert forecasting value are combined effectively.The severity has been confirmed by concretely circumstance.At last,the demand forecasting modeling has been presented,which improve the demand forecasting precision in war.