An application of convolutional neural networks for automatic inspection

被引：0

作者：

Calderon-Martinez, Jose A. ^{[1
]}

Carnpoy-Cervera, Pascual ^{[2
]}

机构：

[1] Inst Tecnol Aguscalientes, Dept Elect & Elect Engn, Aguscalientes 20256, Mexico

[2] Univ Politecn Madrid, Dept Automat Control Elect Engn & Ind Comp, E-28006 Madrid, Spain

来源：

2006 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2006年

关键词：

automatic inspection; artificial vision; convolutional neural networks; filters;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Automatic inspection in today's manufacturing is critical to be competitive. In this paper experimental results from the application of digital filters for defects detection in paper pulp production are shown. These filters have been automatically generated by means of a convolutional neural architecture, that uses a modified back-propagation algorithm. The main subjects discussed are: Convolutional Top-Down Spiral Architecture a tool used to automatically generate digital filters, a simple but effective modification to the back-propagation algorithm for this application, and experimental results.

引用

页码：492 / +

页数：3

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