摘要
针对应急物资需求量的预测问题,提出了一种改进的加权最小二乘支持向量机预测建模方法。在该方法中,各数据样本的权重可以根据最小二乘支持向量机的学习结果进行不断的自适应迭代修正,从而消除包含误差的数据样本对预测模型的影响。基于实际救灾数据的测试结果表明了所提出方法的有效性。
In this paper, in view of the problems in the forecasting of the demand volume of the emergency materials, we proposed an improved weighted LSSVM method, then introduced the working mechanism of it, and at the end, by applying it to an empirical case of disaster relief, proved the validity of the method proposed
出处
《物流技术》
2015年第18期163-166,180,共5页
Logistics Technology
