摘要
本文着重研究了上海市国际集装箱生成机制 ,在对其进行定性分析的基础上 ,提出了量化的构想 ,并将人工神经网络应用于集装箱生成量预测中 ,在此基础上提出了结构性神经网络预测模型 ,并用 C语言进行编程 ,取得了较为理想的预测效果 。
This dissertation lays emphasis upon the study of Shanghai International Container Generating Mechanism. On the basis of qualitative analysis ,it brings forward an idea for quantification and applies the Artificial Neural Networks to the forecast of International Container Generating Amount, thereafter, it presents the Forecast Model of Structural Artificial Neural Networks and designs the programme in C-language and achieves satisfactory forecast result,thus filling in the defects of study in this field.
出处
《北京城市学院学报》
2002年第1期47-51,共5页
Journal of Beijing City University
关键词
神经网络
预测
集装箱生成量
the Artificial Neural Networks
forecast
container generating amount
