Publication Details

Nonstandard Automatic Test Pattern Generation Based on Neural Network Theory

KOTÁSEK Zdeněk and ZBOŘIL František. Nonstandard Automatic Test Pattern Generation Based on Neural Network Theory. In: Proceedings of the ECI'98. Herlany: Slovak Academy of Science, 1998, pp. 75-80. ISBN 80-88786-94-0.
Czech title
Nestandardní generování testovacích vzorů založené na teorii neuronových sítí
Type
conference paper
Language
english
Authors
Keywords

Neural Networks, Combinational Logic Circuits, Test Pattern Generation

Abstract

The paper deals with an unusual application of the Hopfield neural network for test pattern generation of combinational logic circuits. The neural subnets generating signals satisfying the functions of some standard gates are derived and their merging to the net representing complex circuit is presented. To generate a test pattern, two identical nets are created, the fault is injected to the arbitrary net and both nets outputs are combined together to check them for inequality. The nets themselves look for their neuron outputs (signals of logical gates) satisfying all signal combinations and thus find the input signals detecting the fault being modelled. The method has been verified on examples of logical circuits containing tens of gates. The results are presented.

Published
1998
Pages
75-80
Proceedings
Proceedings of the ECI'98
Conference
Electronic Computers & Informatics 98, Košice-Herľany, SK
ISBN
80-88786-94-0
Publisher
Slovak Academy of Science
Place
Herlany, SK
BibTeX
@INPROCEEDINGS{FITPUB6601,
   author = "Zden\v{e}k Kot\'{a}sek and Franti\v{s}ek Zbo\v{r}il",
   title = "Nonstandard Automatic Test Pattern Generation Based on Neural Network Theory",
   pages = "75--80",
   booktitle = "Proceedings of the ECI'98",
   year = 1998,
   location = "Herlany, SK",
   publisher = "Slovak Academy of Science",
   ISBN = "80-88786-94-0",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/6601"
}
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