| 基于布尔神经网络的瓷砖表面缺陷检测 |
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| 引用本文： | 赵海洋,薛钧义,冯心海. 基于布尔神经网络的瓷砖表面缺陷检测[J]. 计算机应用与软件, 2001, 18(2): 25-29 |
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| 作者姓名： | 赵海洋 薛钧义 冯心海 |
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| 作者单位： | 1. 西安交通大学电气学院
2. 佛山科学技术学院机电系 |
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| 摘 要： | 本文在二进布尔神经网络基础上，推广得出连续特征值的布尔神经网络，扩大了布尔神经网络的应用范围，由于内部运算的布尔特性，与传统的神经网络相比，学习与分类的速度大为提高，并且各节点具有较为明确的物理意义，具有潜在的工程实用价值，该方法成功用于瓷砖表面缺陷检测，结果令人满意。
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| 关 键 词： | 布尔神经网络 模式分类 资砖 表面缺陷 检测 |
DEFECT INSPECTION OF CERAMIC TILE SURFACE BASED ON BOOLEAN NEURAL NETWORK |
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| Zhao Haiyang Xue Junyi Feng Xinhai. DEFECT INSPECTION OF CERAMIC TILE SURFACE BASED ON BOOLEAN NEURAL NETWORK[J]. Computer Applications and Software, 2001, 18(2): 25-29 |
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| Authors: | Zhao Haiyang Xue Junyi Feng Xinhai |
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| Abstract: | Based on boolean neural network, a continuous feature value boolean neural network is investigated in this paper. It is extented that the application area of boolean neural network. Because of inside operation's boolean characteristic, the studying and working velocity are rather faster and all nodes have more explicit physics meaning comparing traditional neural network and potential engineering value. The method is used successfully in defect inspecting of ceramic tile surface and the results is satisfied. |
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| Keywords: | Boolean neural network Defect detect Pattern classify Ceramic tile |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
