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BP神经网络在带钢宽展预测中的应用
引用本文:刘国平,符强,张华. BP神经网络在带钢宽展预测中的应用[J]. 南昌大学学报(工科版), 2003, 25(3): 25-28
作者姓名:刘国平  符强  张华
作者单位:1. 南昌大学,机电工程学院,江西,南昌,330029
2. 南昌大学,自动化工程学院,江西,南昌,330029
摘    要:传统数学模型对非线性系统进行预测往往造成较大误差,而BP神经网络能取得较好的效果.本文将BP神经网络的思想用于热连轧精轧自然宽展预测。研究并建立了基于BP神经网络的精轧自然宽展预测控制数学模型。经用现场实测数据仿真验证表明该模型大大优于传统的数学预测模型的预测精度.

关 键 词:BP神经网络 预测 精轧带钢宽
文章编号:1006-0456(2003)03-0025-04
修稿时间:2002-11-04

The Width Variation Predictive Control Model in Finishing Stand Based on BP Neural Networks
LIU Guo-ping,FU Qiang,ZHANG Hua. The Width Variation Predictive Control Model in Finishing Stand Based on BP Neural Networks[J]. Journal of Nanchang University(Engineering & Technology Edition), 2003, 25(3): 25-28
Authors:LIU Guo-ping  FU Qiang  ZHANG Hua
Affiliation:LIU Guo-ping~1,FU Qiang~2,ZHANG Hua~1
Abstract:The BP neural network is better than the traditional mathematics models in nonlinear system (prediction.)To meet the demand of improving the predictive accuracy,the author designed the width variation controlment and prediction model based on BP neural networks,which applied the idea of neural net to practical engineering control model.With the good simulation result based upon the actual data from the finishing stand,the BP predictive model presented its better performance than those traditional mathematics models in existence.
Keywords:BP neural networks  prediction  width variation in finishing stand  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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