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神经网络在胶合板质检系统中的应用
引用本文:吴成东,郭彤颖,王海忱,郭彤彦,李孟歆.神经网络在胶合板质检系统中的应用[J].控制理论与应用,2002,19(6):901-904.
作者姓名:吴成东  郭彤颖  王海忱  郭彤彦  李孟歆
作者单位:1. 沈阳建筑工程学院自动控制系,沈阳,110015
2. 东北亚通讯设备制造有限公司,沈阳,110015
摘    要:在对神经网络特点分析基础上, 提出了应用神经网络对木质胶合板进行质检的方法, 设计了应用在木质胶合板质检系统中的BP网络, 研究了网络参数优化选取算法及优化试验设计方案, 并对结果进行分析. 仿真实验表明方法有效.

关 键 词:神经网络    胶合板    参数优化    正交设计
文章编号:1000-8152(2002)06-0901-04
收稿时间:2001/4/23 0:00:00
修稿时间:2001年4月23日

Application of neural networks in the veneer inspection system
WU Cheng-dong\,\,\,\,\.Application of neural networks in the veneer inspection system[J].Control Theory & Applications,2002,19(6):901-904.
Authors:WU Cheng-dong\  \  \  \  \
Affiliation:Department of Automation Control, Shenyang Architecture and Civil Engineering Institute, Shenyang 110015, China;Department of Automation Control, Shenyang Architecture and Civil Engineering Institute, Shenyang 110015, China;Department of Automation Control, Shenyang Architecture and Civil Engineering Institute, Shenyang 110015, China;Northeast Asia Communication Equipment-making Company Liminited, Shenyang 110015, China;Department of Automation Control, Shenyang Architecture and Civil Engineering Institute, Shenyang 110015, China
Abstract:Based on analyzing the characteristics of neural networks, a quality inspection strategy for wood veneer using neural networks is proposed. The BP networks in the wood veneer quality inspection system are designed,the neural networks' parameters optimal algorithm and optimal experiment designing are researched, and the results of simulation are analyzed. Simulation shows that this method is effective.
Keywords:neural networks  veneer  parameter optimization  orthogonal designing
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