物流企业分类模型

针对当前物流市场管理比较混乱和急需对物流企业进行分类管理的实际, 基于收集的大量物流企业样本, 提出了物流企业分类的特征指标体系, 应用二维Kohonen自组织神经网络建立了物流企业的分类模型。根据模型的训练结果将物流企业分为运输型、仓储型、配送型、货代型、快递型和综合型6个类别, 并对各类型的特点进行了总结描述, 最后以5家物流企业为例, 对Kohonen自组织神经网络模型进行了测试。结果表明此神经网络模型具有较强的分类能力, 能按特征指标对5家物流企业进行归类, 分类结果与实际情况相符, 该模型可行。

Logistics enterprise classifying model

Aimed at the disorder of logistics markets and the essentiality of the classifying management for logistics enterprises, a characteristic indices system of logistics enterprise classifying was proposed by concluding and analyzing some logistics enterprise samples, and a classifying neural network model of logistics enterprises was founded based on Kohonen' SOM neural network. In the model, the logistics enterprises were divided into six groups, including transportation type, warehouse type, distribution type, agent type, express type and integration type, their characteristics were summarized. Using the model, five logistics enterprises are classified effectively, the classifying result is right, it accords with the real classifying object, the model is feasible. 5 tabs, 5 figs, 13 refs.