Training cellular neural networks with stable learning algorithm

Marco A. Moreno-Armendariz; Giovanni Egidio Pazienza; Wen Yu

doi:10.1007/11759966_83

Training cellular neural networks with stable learning algorithm

Marco A. Moreno-Armendariz, Giovanni Egidio Pazienza, Wen Yu

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

3 Scopus citations

Abstract

In this paper we propose a new stable learning algorithm for Cellular Neural Networks. Our approach is based on the input-to-state stability theory, so to obtain learning laws that do not need robust modifications. Here we present only a theoretical study, letting experimental evidences for further works.

Original language	English
Title of host publication	Advances in Neural Networks - ISNN 2006
Subtitle of host publication	Third International Symposium on Neural Networks, ISNN 2006, Proceedings
Publisher	Springer Verlag
Pages	558-563
Number of pages	6
ISBN (Print)	354034439X, 9783540344391
DOIs	https://doi.org/10.1007/11759966_83
State	Published - 2006
Externally published	Yes
Event	3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks - Chengdu, China Duration: 28 May 2006 → 1 Jun 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3971 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks
Country/Territory	China
City	Chengdu
Period	28/05/06 → 1/06/06

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10.1007/11759966_83

Cite this

Moreno-Armendariz, M. A., Pazienza, G. E., & Yu, W. (2006). Training cellular neural networks with stable learning algorithm. In Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings (pp. 558-563). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3971 LNCS). Springer Verlag. https://doi.org/10.1007/11759966_83

Moreno-Armendariz, Marco A. ; Pazienza, Giovanni Egidio ; Yu, Wen. / Training cellular neural networks with stable learning algorithm. Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings. Springer Verlag, 2006. pp. 558-563 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Training cellular neural networks with stable learning algorithm",

abstract = "In this paper we propose a new stable learning algorithm for Cellular Neural Networks. Our approach is based on the input-to-state stability theory, so to obtain learning laws that do not need robust modifications. Here we present only a theoretical study, letting experimental evidences for further works.",

author = "Moreno-Armendariz, {Marco A.} and Pazienza, {Giovanni Egidio} and Wen Yu",

year = "2006",

doi = "10.1007/11759966_83",

language = "Ingl{\'e}s",

isbn = "354034439X",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "558--563",

booktitle = "Advances in Neural Networks - ISNN 2006",

address = "Alemania",

note = "3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks ; Conference date: 28-05-2006 Through 01-06-2006",

}

Moreno-Armendariz, MA, Pazienza, GE & Yu, W 2006, Training cellular neural networks with stable learning algorithm. in Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3971 LNCS, Springer Verlag, pp. 558-563, 3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks, Chengdu, China, 28/05/06. https://doi.org/10.1007/11759966_83

Training cellular neural networks with stable learning algorithm. / Moreno-Armendariz, Marco A.; Pazienza, Giovanni Egidio; Yu, Wen.
Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings. Springer Verlag, 2006. p. 558-563 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3971 LNCS).

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

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AU - Pazienza, Giovanni Egidio

AU - Yu, Wen

PY - 2006

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AB - In this paper we propose a new stable learning algorithm for Cellular Neural Networks. Our approach is based on the input-to-state stability theory, so to obtain learning laws that do not need robust modifications. Here we present only a theoretical study, letting experimental evidences for further works.

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M3 - Contribución a la conferencia

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SN - 9783540344391

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 558

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BT - Advances in Neural Networks - ISNN 2006

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Moreno-Armendariz MA, Pazienza GE, Yu W. Training cellular neural networks with stable learning algorithm. In Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings. Springer Verlag. 2006. p. 558-563. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11759966_83

Training cellular neural networks with stable learning algorithm

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