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应用科学学报 ›› 2004, Vol. 22 ›› Issue (4): 509-512.

• 论文 • 上一篇    下一篇

基于人工神经网络的组合预报模型与应用

薛立华1, 黄洪钟1, 时章明2   

  1. 1 大连理工大学精密与特种加工教育部重点实验室 辽宁大连 116023;
    2 中南大学能源与动力工程学院 湖南长沙 410083
  • 收稿日期:2003-08-26 修回日期:2003-12-15 出版日期:2004-12-31 发布日期:2004-12-31
  • 作者简介:薛立华(1974-),女,辽宁锦西人,博士生;黄洪钟(1963-),男,重庆人,教授,博导;时章明(1946-),男,江苏海安人,教授,博导.
  • 基金资助:
    国家自然科学基金(高技术新概念新构思探索)(59685003);教育部优秀青年教师资助计划(1766);高等学校全国100篇优秀博士论文作者专项基金(200232)资助项目

A Multiplex Forecasting Model Based onan Artificial Neural Network and Its Application

XUE Li-hua1, HUANG Hong-zhong1, SHI Zhang-ming2   

  1. Key Laboratory for Precision & Non-traditional Machining of Ministry of Education, Dalian University of Technology, Dalian 116023, China;
    2. School of Energy and Power Engineering, Centralsouth University, Changsha 410083, China
  • Received:2003-08-26 Revised:2003-12-15 Online:2004-12-31 Published:2004-12-31

PDF

70

被引次数

6

摘要： 在研究铜锍吹炼实际生产过程的基础上,综合运用两种结构不同的BP神经网络与经验估算方法,建立了铜锍吹炼造铜期终点的组合预报模型;并采用模糊聚类分析法对神经网络隐含层节点数进行模糊确定.经实践证明,预报结果具有较高精度,能有效地指导生产实践.

关键词: 神经网络, 终点预报, 铜锍吹炼, 模糊聚类分析

Abstract: On the basis of our study of the industrial converting process as well as through comprehensive application of the BP neural networks and the experiential evaluation method, a multiplex forecast model is set up at the endpoint of copper blow period in a converting process. The fuzzy clustering anaysis method is also used to determine the number of hidden nodes in the neural networks. Experience shows that the forecast is highly dependable and capable of providing effective guidance to the production process.

Key words: artificial neural network, endpoint forecast, fuzzy clustering analysis, matte converting

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