摘要
分析了简单趋势、时间序列、神经网络等预测方法，结合组合预测和滚动优化的思想提出了适合于某钢厂冷轧发货预报的预测策略，给出了严格的基于实际生产数据的仿真研究．仿真结果表明。
Some forecasting methods,such as simple trend forecasting,time serial forecasting,neural network forecasting and so on,are analyzed inthis paper.A forecasting strategy based on the idea of combinational forecasting and roll optimization which is suitable for the goods delivery forecasting is put forward.The strict simulation based on the real production data is presented.The result indicates that the forecasting method and strategy are feasible.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
1997年第3期53-56,共4页
Journal of Shanghai Jiaotong University
关键词
预测策略
发货预报模型
钢厂
冷轧
预测算法
goods delivery
forecasting method
time series
neural network
forecasting strategy
