Neural understanding of low-resolution images

被引：0

作者：

Spaanenburg, L ^{[1
]}

DeGraaf, J ^{[1
]}

Nijhuis, JAG ^{[1
]}

Stevens, II ^{[1
]}

Wichers, W ^{[1
]}

机构：

[1] Univ Groningen, IMPACTS Intelligent Syst, NL-9700 AV Groningen, Netherlands

来源：

COMPUTATIONAL INTELLIGENCE: NEURONALE NETZE EVOLUTIONARE ALGORITHMEN FUZZY CONTROL IM INDUSTRIELLEN EINSATZ. INDUSTRIAL APPLICATION OF NEURAL NETWORKS, EVOLUTIONARY ALGORITHMS AND FUZZY CONTROL | 1998年 / 1381卷

关键词：

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：

Neural networks can be applied for a number of innovative applications in a production environment, ranging from security & safety in the environmental conditions to the product control & diagnosis. For visual monitoring the use of low-resolution images is promising to bridge the time elapse between more elaborous stampings. This facility for image-based decision making Is illustrated by two real-life applications: stain detection and grain mixture diagnosis.

引用

页码：237 / 248

页数：12