Single-layer CNN simulator

C.-C. Lee; J. Pineda de Gyvez

doi:10.1109/ISCAS.1994.409566

Single-layer CNN simulator

C.-C. Lee, J. Pineda de Gyvez

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

26 Citations (Scopus)

181 Downloads (Pure)

Abstract

An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The simulator is capable of performing Single-Layer CNN simulations for any size of input image, thus a powerful tool for researchers investigating potential applications of CNN. This paper reports an efficient algorithm exploiting the latency properties of Cellular Neural Networks along with numerical integration techniques; simulation results and comparisons are also presented

Original language	English
Title of host publication	Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, 1994, ISCAS '94, 30 May - 2 June 1994, London, United Kingdom
Place of Publication	New York
Publisher	Institute of Electrical and Electronics Engineers
Pages	217-220
Volume	6
ISBN (Print)	0-7803-1915-X
DOIs	https://doi.org/10.1109/ISCAS.1994.409566
Publication status	Published - 1994
Externally published	Yes

Access to Document

10.1109/ISCAS.1994.409566

Metis247765Final published version, 339 KB

Cite this

@inproceedings{dbf3165aca8d41498f149daadd3f87ed,

title = "Single-layer CNN simulator",

abstract = "An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The simulator is capable of performing Single-Layer CNN simulations for any size of input image, thus a powerful tool for researchers investigating potential applications of CNN. This paper reports an efficient algorithm exploiting the latency properties of Cellular Neural Networks along with numerical integration techniques; simulation results and comparisons are also presented",

author = "C.-C. Lee and {Pineda de Gyvez}, J.",

year = "1994",

doi = "10.1109/ISCAS.1994.409566",

language = "English",

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

volume = "6",

pages = "217--220",

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",

}

Single-layer CNN simulator. / Lee, C.-C.; 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. p. 217-220.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Single-layer CNN simulator

AU - Lee, C.-C.

AU - Pineda de Gyvez, J.

PY - 1994

Y1 - 1994

N2 - An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The simulator is capable of performing Single-Layer CNN simulations for any size of input image, thus a powerful tool for researchers investigating potential applications of CNN. This paper reports an efficient algorithm exploiting the latency properties of Cellular Neural Networks along with numerical integration techniques; simulation results and comparisons are also presented

AB - An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The simulator is capable of performing Single-Layer CNN simulations for any size of input image, thus a powerful tool for researchers investigating potential applications of CNN. This paper reports an efficient algorithm exploiting the latency properties of Cellular Neural Networks along with numerical integration techniques; simulation results and comparisons are also presented

U2 - 10.1109/ISCAS.1994.409566

DO - 10.1109/ISCAS.1994.409566

M3 - Conference contribution

SN - 0-7803-1915-X

VL - 6

SP - 217

EP - 220

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 -

Single-layer CNN simulator

Abstract

Access to Document

Fingerprint

Cite this