| 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.[点击复制] |
| WU Cheng-dong\+1, \+1, \+1, \+2, \+1 (1.Department of Automation Control, Shenyang Architecture and Civil Engineering Institute, Shenyang 110015, China; 2.Northeast Asia Communication Equipment-making Company Liminited, Shenyang 110015, China,GUO Tong-ying,WANG Hai-chen,GUO Tong-yan,LI Meng-xin.Application of neural networks in the veneer inspection system[J].Control Theory and Technology,2002,19(6):901~904.[点击复制] |
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| 神经网络在胶合板质检系统中的应用 |
| Application of neural networks in the veneer inspection system |
| 摘要点击 2796 全文点击 1543 投稿时间：2001-04-23 修订日期：2001-12-27 |
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| DOI编号 10.7641/j.issn.1000-8152.2002.6.016 |
| 2002,19(6):901-904 |
| 中文关键词 神经网络 胶合板 参数优化 正交设计 |
| 英文关键词 neural networks veneer parameter optimization orthogonal designing |
| 基金项目 |
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| 中文摘要 |
| 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. |
| 英文摘要 |
| 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. |
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