基于超限学习机的应急物资分级研究

Study on Classification of Emergency Material Based on Extreme Learning Machine

针对如何将应急物资进行合理分级,用以提高应急物资的调度安排和运输效率,采用了超限学习机算法对应急物资进行分级研究,建立了应急物资分级评价体系,通过对评价指标的学习与训练,得到应急物资分级结果,并与专家分级结果进行对比,计算分级准确率。实验结果表明,该算法能够有效地对应急物资进行分级,具有较高的准确性和较好的可行性。

Aiming at that how to properly classify emergency supplies and improve the scheduling and transportation efficiency of emergency supplies,an over-limit learning machine algorithm was used to classify emergency supplies,and a rating system for emergency supplies was established to evaluate evaluation indicators through learning and training. The results of the grade of emergency supplies were obtained and compared with the expert ＇s rating results to calculate their classification accuracy.Experimental results show that the algorithm can effectively classify emergency supplies with high accuracy and good feasibility.