基于支持向量回归机的物流需求预测模型研究

Study on Logistics Demand Forecast Model Based on Support Vector Regression

通过介绍物流需求和支持向量机的基础理论,利用经济与物流需求之间的关系,提出了基于支持向量回归机的物流需求预测模型,给出了构建模型的具体分析步骤,并通过实例详细阐述了模型的应用过程,预测结果验证了模型的可行性和有效性。

The paper introduces the basic theories of logistics demand and support vector machine, integrates the relation of economy and logistics demand, brings forward a logistics demand forecast model based on support vector regression and expatiates on the analytic and applicable process of the model with an example.