区域物流产业满足用户需求预测仿真

摘要

This article puts forward a prediction algorithm for user demand satisfied by regional logistics industry.Firstly,a time sequence model of economic status of regional logistics industry was built and the demand volume of regional logistics was worked out.Then,integrated with support vector machine,The principal factors which influence the development of regional logistics were provided.Problem of demand prediction was converted into nonlinear regression of economy.Moreover,the demand data were mapped into feature space with high dimension and optimization solution was carried out for nonlinear regression problem.Thus,according to the result,the prediction of user demand was completed.Following conclusions can be drawn from experimental results:the algorithm has high precision,and it can provide scientific gist for ensuring harmonic,and stable development of logistics and regional economy.%对区域物流产业中满足用户需求的预测,可更好的分析区域物流产业的发展情况.因此,需要对非线性回归问题进行优化求解,完成区域物流产业满足用户需求的预测.传统方法融合于最小二乘法组建区域物流产业需求方程,对区域物流产业需求进行拟合,但忽略了对其拟合结果进行优化求解,导致预测精度低.提出区域物流产业满足用户需求预测算法.上述算法先组建区域物流产业经济状态时间序列模型,计算出区域的物流需求量,融合于支持向量机理论给出影响区域物流发展的主要因素,将需求预测问题转换为区域物流产业经济非线性回归问题,将区域物流产业需求数据映射至高维的特征空间,对非线性回归问题进行优化求解,依据结果完成对区域物流产业满足用户需求预测.实验结果表明,所提算法精度高,为保障物流产业与区域经济协调稳定发展提供了科学的依据.