智能化物流预测模型的实现  

Buiding the Patterns of Prediction about the Logistics Adopting the Technology of Neural Network

作　　者：吴文兴[1] 

机构地区：[1]广东商学院信息学院,广州510320

出　　处：《现代计算机》2006年第7期38-40,44,共4页Modern Computer

摘　　要：本文研究了智能物流管理控制系统在实现过程中所采用的理论和技术方法,用神经网络技术建立物流预测模型,提出了物流预测模型的层次结构和物流预测模型的知识发现流程,用BP网络算法进行设计,通过实例进行了实验并对实验结果进行分析。The article studies theories and methods adopted in the realizing of intelligent systems about the ogistics. It tries to buid up the patterns of prediction about the logistics, adopting the technology of neural network. Frist, it points out the level structure and the preeess of discovering knowledge about the patterns of prediction for the logistics. Then, it designs analyses them in the calculating methods of BP network. Finally, it does the experiments on some cases and analyse the results of these experiments.

关 键 词：数据挖掘 BP算法 神经网络 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]