| 基于模糊神经网络的大型多辊热连轧产品质量模型 |
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| 引用本文： | 邢进生,万百五.基于模糊神经网络的大型多辊热连轧产品质量模型[J].信息与控制,2001,30(4):381-384. |
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| 作者姓名： | 邢进生 万百五 |
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| 作者单位： | 1. 西安交通大学管理学院
2. 西安交通大学系统所 |
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| 基金项目： | 国家863 计划资助项目(863-51-011) |
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| 摘 要： | 本文提出了一种新模糊神经网络及其学习算法
．将这种神经网络用作大型多辊热连轧产品质量模型，解决了高维输入数据的建模问题．经
过9千多个实测数据建模及检验，测试结果表明，85%的样本的检测值与实测值的误差满足工
程实际要求．
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| 关 键 词： | 模糊神经网络 质量模型 高维输入 |
| 文章编号： | 1002-0411(2001)04-381-04 |
A QUALITY MODEL FOR LARGE-SCALE HOT STEEL ROLLING PRODUCTION BASED ON FUZZY NEURAL NETWORK |
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| XING Jinsheng,\ WAN Baiwu.A QUALITY MODEL FOR LARGE-SCALE HOT STEEL ROLLING PRODUCTION BASED ON FUZZY NEURAL NETWORK[J].Information and Control,2001,30(4):381-384. |
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| Authors: | XING Jinsheng \ WAN Baiwu |
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| Affiliation: | XING Jinsheng 1\ WAN Baiwu 2 |
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| Abstract: | A kind of FNN and learning algorithm is presented in this paper. The FNN is taken as the model of large scale hot steel rolling quality and a high dimensional modeling problem is resolved. After modeling and examination using more than nine thousand of examples, the result of forecast shows that 85% of error value between forest value and real value satisfies the practice engineering demand. |
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| Keywords: | fuzzy neural network quality model high dimensional input |
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