| 基于联想竞争神经网络的静态织物疵点识别研究 |
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| 引用本文： | 张娜,包晓安.基于联想竞争神经网络的静态织物疵点识别研究[J].浙江理工大学学报,2006,23(2):146-149. |
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| 作者姓名： | 张娜 包晓安 |
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| 作者单位： | 浙江理工大学信息电子学院,杭州,310018 |
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| 摘 要： | 在竞争神经网络的模型基础上,提出了一种新的联想竞争神经网络模型,并利用新的网络模型对织物疵点进行检测.实验结果表明,基于联想记忆的竞争神经网络模型算法, 具有较快的收敛速度并有较好的识别效果.
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| 关 键 词： | 竞争神经网络 织物疵点 联想神经网络模型 检测 |
| 文章编号： | 1673-3851(2006)02-0146-04 |
| 修稿时间： | 2005年9月23日 |
Research about the Fabric's Defect Detection Based on the Associative Competition Neural Network |
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| ZHANG Na,BAO Xiao-an.Research about the Fabric''''s Defect Detection Based on the Associative Competition Neural Network[J].Journal of Zhejiang Sci-tech University,2006,23(2):146-149. |
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| Authors: | ZHANG Na BAO Xiao-an |
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| Abstract: | A new competitive neural networks pattern building on associating arithmetic is introduced.In order to validate the new network arithmetic,several fabrics are chosen with detects to scan images,and recognize them.The system has efficiently decreased,Associating competitive neural networks has the faster constringency speed and better result of identity. |
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| Keywords: | Competition neural network Fabric defect Associative neural networks Detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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