USE OF NEURAL NETWORKS IN ONLINE ANALYSIS

被引：7

作者：

GOPPERT, J

ROSENSTIEL, W

机构：

[1] Lehrstuhl für Technische Informatik, Universität Tübingen, Tübingen, D-72076

来源：

FRESENIUS JOURNAL OF ANALYTICAL CHEMISTRY | 1994年 / 349卷 / 05期

关键词：

D O I：

10.1007/BF00326601

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

The evaluation principles of neural networks are presented and compared with common known techniques. The concepts in data processing, introduced by neural nets are explained and processing types implemented by neural networks are presented. The evaluation of gas sensitive sensors will be an example for the special features of neural nets, with a focus to the self-organizing map.

引用

页码：367 / 371

页数：5

共 7 条

[1]

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[2]

GOPPERT J, 1993, PHYSIK INFORMATIK WE, P35

[3]

GOPPERT J, 1992, P 5 INT C NEUR NIM 9, P405

[4]

Goppert J., 1993, P WORKSH DES METH MI, P153

[5] SELF-ORGANIZED FORMATION OF TOPOLOGICALLY CORRECT FEATURE MAPS [J].

KOHONEN, T .

BIOLOGICAL CYBERNETICS, 1982, 43 (01) :59-69

[6] APPLICATION AND COMPARISON OF ALGORITHMS FOR THE EVALUATION OF INTERFEROGRAMS [J].

KRAUS, G ;

GAUGLITZ, G .

FRESENIUS JOURNAL OF ANALYTICAL CHEMISTRY, 1992, 344 (4-5) :153-157

[7]

WIDROW B, 1960, IRE WESCON CONV RE 4, P96

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