Automatic design of artificial neural networks and associative memories for pattern classification and pattern restoration

Humberto Sossa; Beatriz A. Garro; Juan Villegas; Carlos Avilés; Gustavo Olague

doi:10.1007/978-3-642-31149-9_3

Automatic design of artificial neural networks and associative memories for pattern classification and pattern restoration

Humberto Sossa, Beatriz A. Garro, Juan Villegas, Carlos Avilés, Gustavo Olague

Centro de Investigación en Computación (CIC)

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

2 Scopus citations

Abstract

In this note we present our most recent advances in the automatic design of artificial neural networks (ANNs) and associative memories (AMs) for pattern classification and pattern recall. Particle Swarm Optimization (PSO), Differential Evolution (DE), and Artificial Bee Colony (ABC) algorithms are used for ANNs; Genetic Programming is adopted for AMs. The derived ANNs and AMs are tested with several examples of well-known databases. As we will show, results are very promising.

Original language	English
Title of host publication	Pattern Recognition - 4th Mexican Conference, MCPR 2012, Proceedings
Pages	23-34
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-31149-9_3
State	Published - 2012
Event	4th Mexican Conference on Pattern Recognition, MCPR 2012 - Huatulco, Mexico Duration: 27 Jun 2012 → 30 Jun 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7329 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th Mexican Conference on Pattern Recognition, MCPR 2012
Country/Territory	Mexico
City	Huatulco
Period	27/06/12 → 30/06/12

Keywords

Artificial neural networks
Associative memories
Evolutionary programming

Access to Document

10.1007/978-3-642-31149-9_3

Cite this

Sossa, H., Garro, B. A., Villegas, J., Avilés, C., & Olague, G. (2012). Automatic design of artificial neural networks and associative memories for pattern classification and pattern restoration. In Pattern Recognition - 4th Mexican Conference, MCPR 2012, Proceedings (pp. 23-34). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7329 LNCS). https://doi.org/10.1007/978-3-642-31149-9_3

Sossa, Humberto ; Garro, Beatriz A. ; Villegas, Juan et al. / Automatic design of artificial neural networks and associative memories for pattern classification and pattern restoration. Pattern Recognition - 4th Mexican Conference, MCPR 2012, Proceedings. 2012. pp. 23-34 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Automatic design of artificial neural networks and associative memories for pattern classification and pattern restoration",

abstract = "In this note we present our most recent advances in the automatic design of artificial neural networks (ANNs) and associative memories (AMs) for pattern classification and pattern recall. Particle Swarm Optimization (PSO), Differential Evolution (DE), and Artificial Bee Colony (ABC) algorithms are used for ANNs; Genetic Programming is adopted for AMs. The derived ANNs and AMs are tested with several examples of well-known databases. As we will show, results are very promising.",

keywords = "Artificial neural networks, Associative memories, Evolutionary programming",

author = "Humberto Sossa and Garro, {Beatriz A.} and Juan Villegas and Carlos Avil{\'e}s and Gustavo Olague",

year = "2012",

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note = "4th Mexican Conference on Pattern Recognition, MCPR 2012 ; Conference date: 27-06-2012 Through 30-06-2012",

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Sossa, H, Garro, BA, Villegas, J, Avilés, C & Olague, G 2012, Automatic design of artificial neural networks and associative memories for pattern classification and pattern restoration. in Pattern Recognition - 4th Mexican Conference, MCPR 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7329 LNCS, pp. 23-34, 4th Mexican Conference on Pattern Recognition, MCPR 2012, Huatulco, Mexico, 27/06/12. https://doi.org/10.1007/978-3-642-31149-9_3

Automatic design of artificial neural networks and associative memories for pattern classification and pattern restoration. / Sossa, Humberto; Garro, Beatriz A.; Villegas, Juan et al.
Pattern Recognition - 4th Mexican Conference, MCPR 2012, Proceedings. 2012. p. 23-34 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7329 LNCS).

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

TY - GEN

T1 - Automatic design of artificial neural networks and associative memories for pattern classification and pattern restoration

AU - Sossa, Humberto

AU - Garro, Beatriz A.

AU - Villegas, Juan

AU - Avilés, Carlos

AU - Olague, Gustavo

PY - 2012

Y1 - 2012

N2 - In this note we present our most recent advances in the automatic design of artificial neural networks (ANNs) and associative memories (AMs) for pattern classification and pattern recall. Particle Swarm Optimization (PSO), Differential Evolution (DE), and Artificial Bee Colony (ABC) algorithms are used for ANNs; Genetic Programming is adopted for AMs. The derived ANNs and AMs are tested with several examples of well-known databases. As we will show, results are very promising.

AB - In this note we present our most recent advances in the automatic design of artificial neural networks (ANNs) and associative memories (AMs) for pattern classification and pattern recall. Particle Swarm Optimization (PSO), Differential Evolution (DE), and Artificial Bee Colony (ABC) algorithms are used for ANNs; Genetic Programming is adopted for AMs. The derived ANNs and AMs are tested with several examples of well-known databases. As we will show, results are very promising.

KW - Artificial neural networks

KW - Associative memories

KW - Evolutionary programming

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U2 - 10.1007/978-3-642-31149-9_3

DO - 10.1007/978-3-642-31149-9_3

M3 - Contribución a la conferencia

SN - 9783642311482

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

SP - 23

EP - 34

BT - Pattern Recognition - 4th Mexican Conference, MCPR 2012, Proceedings

T2 - 4th Mexican Conference on Pattern Recognition, MCPR 2012

Y2 - 27 June 2012 through 30 June 2012

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Sossa H, Garro BA, Villegas J, Avilés C, Olague G. Automatic design of artificial neural networks and associative memories for pattern classification and pattern restoration. In Pattern Recognition - 4th Mexican Conference, MCPR 2012, Proceedings. 2012. p. 23-34. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-31149-9_3

Automatic design of artificial neural networks and associative memories for pattern classification and pattern restoration

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