Behavioral testing of cellular neural networks

J. Willis; J. Pineda de Gyvez

doi:10.1109/ISCAS.1994.409569

Behavioral testing of cellular neural networks

J. Willis
, J. Pineda de Gyvez

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

2 Citaten (Scopus)

178 Downloads (Pure)

Samenvatting

This paper addresses the functional behavior of Cellular Neural Networks (CNN). The impact of variable convergence times on the proper operation of the network is discussed A test method is presented to determine the functionality of the network. The function fault models assume that the cells are unable to switch between limiting states. The proposed method attains 100% stuck-at fault coverage without any extra hardware for its implementation. Moreover, the required number of test vectors is constant and independent of the array size which makes it suitable for practical implementations. The paper discusses the new fault model, presents the algorithmic procedures and shows simulated testing results

Originele taal-2	Engels
Titel	Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, 1994, ISCAS '94, 30 May - 2 June 1994, London, United Kingdom
Plaats van productie	New York
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	229-232
Volume	6
ISBN van geprinte versie	0-7803-1915-X
DOI's	https://doi.org/10.1109/ISCAS.1994.409569
Status	Gepubliceerd - 1994
Extern gepubliceerd	Ja

Toegang tot document

10.1109/ISCAS.1994.409569

Metis247773Definitieve gepubliceerde versie, 466 KB

Citeer dit

@inproceedings{9a3ea831110847e8bee2a2c2caa774b1,

title = "Behavioral testing of cellular neural networks",

abstract = "This paper addresses the functional behavior of Cellular Neural Networks (CNN). The impact of variable convergence times on the proper operation of the network is discussed A test method is presented to determine the functionality of the network. The function fault models assume that the cells are unable to switch between limiting states. The proposed method attains 100\% stuck-at fault coverage without any extra hardware for its implementation. Moreover, the required number of test vectors is constant and independent of the array size which makes it suitable for practical implementations. The paper discusses the new fault model, presents the algorithmic procedures and shows simulated testing results",

author = "J. Willis and \{Pineda de Gyvez\}, J.",

year = "1994",

doi = "10.1109/ISCAS.1994.409569",

language = "English",

isbn = "0-7803-1915-X",

volume = "6",

pages = "229--232",

booktitle = "Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, 1994, ISCAS '94, 30 May - 2 June 1994, London, United Kingdom",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

}

Behavioral testing of cellular neural networks. / Willis, J.; Pineda de Gyvez, J.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, 1994, ISCAS '94, 30 May - 2 June 1994, London, United Kingdom. Vol. 6 New York: Institute of Electrical and Electronics Engineers, 1994. blz. 229-232.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - Behavioral testing of cellular neural networks

AU - Willis, J.

AU - Pineda de Gyvez, J.

PY - 1994

Y1 - 1994

N2 - This paper addresses the functional behavior of Cellular Neural Networks (CNN). The impact of variable convergence times on the proper operation of the network is discussed A test method is presented to determine the functionality of the network. The function fault models assume that the cells are unable to switch between limiting states. The proposed method attains 100% stuck-at fault coverage without any extra hardware for its implementation. Moreover, the required number of test vectors is constant and independent of the array size which makes it suitable for practical implementations. The paper discusses the new fault model, presents the algorithmic procedures and shows simulated testing results

AB - This paper addresses the functional behavior of Cellular Neural Networks (CNN). The impact of variable convergence times on the proper operation of the network is discussed A test method is presented to determine the functionality of the network. The function fault models assume that the cells are unable to switch between limiting states. The proposed method attains 100% stuck-at fault coverage without any extra hardware for its implementation. Moreover, the required number of test vectors is constant and independent of the array size which makes it suitable for practical implementations. The paper discusses the new fault model, presents the algorithmic procedures and shows simulated testing results

U2 - 10.1109/ISCAS.1994.409569

DO - 10.1109/ISCAS.1994.409569

M3 - Conference contribution

SN - 0-7803-1915-X

VL - 6

SP - 229

EP - 232

BT - Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, 1994, ISCAS '94, 30 May - 2 June 1994, London, United Kingdom

PB - Institute of Electrical and Electronics Engineers

CY - New York

ER -

Behavioral testing of cellular neural networks

Samenvatting

Toegang tot document

Vingerafdruk

Citeer dit