摘要
针对现阶段物流系统样本量少的具体状况,从神经网络的非线性预测分析入手,建立物流量预测非线性支持向量机模型并在廊坊市应用,与其它预测方法进行比较,证明采用支持向量机用于区域物流量预测的正确性、可行性并具有较高精度。
Starting with the analysis of nonlinear prediction using artificial neural networks model, we establishes the nonlinear prediction model of support vector machines about regional logistics amount for there are not enough samples in logistics system now, The＇ application has been done in Langfang city of China. Through the error comparison, the model using SVM has the most precision, The result shows its correctness and feasibility.
出处
《物流科技》
2007年第9期20-23,共4页
Logistics Sci-Tech
基金
河北省科技研究与发展计划(054572243)
关键词
支持向量机
物流
预测
核函数
support vector machines （SVM）
logistics
prediction
kernel function
