| 基于人工神经网络的板形模式识别方法 |
| |
| 引用本文： | 张秀玲,刘宏民. 基于人工神经网络的板形模式识别方法[J]. 自动化与仪器仪表, 2001, 0(1): 20-22 |
| |
| 作者姓名： | 张秀玲 刘宏民 |
| |
| 作者单位： | 燕山大学自动化系,河北,秦皇岛,066004 |
| |
| 基金项目： | 燕山大学科技发展基金资助课题 |
| |
| 摘 要： | 根据带钢板形控制的要求，运用人工神经网络理论，提出了一种新的板形识别方法，代替了传统的多项式最小二乘拟合法，该法具有很强的容错性和抗干扰能力，编制了板形模式识别软件，识别效果很好。
|
| 关 键 词： | 板形测量 模式识别 人工神经网络 BP算法 带钢 板形控制 |
| 文章编号： | 1001-9227(2001)01-0020-03 |
Shape pattern recognition method based on artiecial neural networks |
| |
| Zhang Xiuling,etc.. Shape pattern recognition method based on artiecial neural networks[J]. Automation & Instrumentation, 2001, 0(1): 20-22 |
| |
| Authors: | Zhang Xiuling etc. |
| |
| Abstract: | A new pattern recognition used artificial neural is presented network in this paper to meet the requirement of controlling strip shape,and instead of the traditional method of flatness pattern recognition by lowest square proximity.The method has unusual ability to resist disturbance and allowing error,shape pattern recognition's software has been compiled,and recognizing effect is superior. |
| |
| Keywords: | Shape measurement Pattern recognition Artificial neural network BP algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
