On the performance of the μ-GA extreme learning machines in regression problems

A. Paniagua-Tineo; S. Salcedo-Sanz; E. G. Ortiz-García; J. Gascón-Moreno; B. Saavedra-Moreno; J. A. Portilla-Figueras

doi:10.1007/978-3-642-21498-1_20

On the performance of the μ-GA extreme learning machines in regression problems

A. Paniagua-Tineo^*, S. Salcedo-Sanz, E. G. Ortiz-García, J. Gascón-Moreno, B. Saavedra-Moreno, J. A. Portilla-Figueras

^*Corresponding author for this work

Chemical Engineering

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

1 Scopus citations

Abstract

In this paper we carry out an statistical study of the performance of the μ-GA ELM algorithm in regression problems. Up until now, the performance of the the μ-GA ELM have not been characterized, and only a traditional evolutionary ELM have been proposed in the literature, and tested in synthetic problems. In this paper we analyze the performance of the μ-GA ELM in small 1-dimensional problems, where our results agree with the ones in previous works in the literature, and also in large real problems, where we will show that the behavior of the algorithm is worse in many cases than that of the ELM, what is a completely novel result.

Original language	English (US)
Title of host publication	Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings
Pages	153-160
Number of pages	8
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-21498-1_20
State	Published - 2011
Event	11th International Work-Conference on on Artificial Neural Networks, IWANN 2011 - Torremolinos-Malaga, Spain Duration: Jun 8 2011 → Jun 10 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6692 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Work-Conference on on Artificial Neural Networks, IWANN 2011
Country/Territory	Spain
City	Torremolinos-Malaga
Period	06/8/11 → 06/10/11

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-642-21498-1_20

Cite this

Paniagua-Tineo, A., Salcedo-Sanz, S., Ortiz-García, E. G., Gascón-Moreno, J., Saavedra-Moreno, B., & Portilla-Figueras, J. A. (2011). On the performance of the μ-GA extreme learning machines in regression problems. In Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings (PART 2 ed., pp. 153-160). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6692 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-21498-1_20

Paniagua-Tineo, A. ; Salcedo-Sanz, S. ; Ortiz-García, E. G. et al. / On the performance of the μ-GA extreme learning machines in regression problems. Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings. PART 2. ed. 2011. pp. 153-160 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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abstract = "In this paper we carry out an statistical study of the performance of the μ-GA ELM algorithm in regression problems. Up until now, the performance of the the μ-GA ELM have not been characterized, and only a traditional evolutionary ELM have been proposed in the literature, and tested in synthetic problems. In this paper we analyze the performance of the μ-GA ELM in small 1-dimensional problems, where our results agree with the ones in previous works in the literature, and also in large real problems, where we will show that the behavior of the algorithm is worse in many cases than that of the ELM, what is a completely novel result.",

author = "A. Paniagua-Tineo and S. Salcedo-Sanz and Ortiz-Garc{\'i}a, {E. G.} and J. Gasc{\'o}n-Moreno and B. Saavedra-Moreno and Portilla-Figueras, {J. A.}",

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doi = "10.1007/978-3-642-21498-1_20",

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Paniagua-Tineo, A, Salcedo-Sanz, S, Ortiz-García, EG, Gascón-Moreno, J, Saavedra-Moreno, B & Portilla-Figueras, JA 2011, On the performance of the μ-GA extreme learning machines in regression problems. in Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6692 LNCS, pp. 153-160, 11th International Work-Conference on on Artificial Neural Networks, IWANN 2011, Torremolinos-Malaga, Spain, 06/8/11. https://doi.org/10.1007/978-3-642-21498-1_20

On the performance of the μ-GA extreme learning machines in regression problems. / Paniagua-Tineo, A.; Salcedo-Sanz, S.; Ortiz-García, E. G. et al.
Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings. PART 2. ed. 2011. p. 153-160 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6692 LNCS, No. PART 2).

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

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AU - Ortiz-García, E. G.

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AB - In this paper we carry out an statistical study of the performance of the μ-GA ELM algorithm in regression problems. Up until now, the performance of the the μ-GA ELM have not been characterized, and only a traditional evolutionary ELM have been proposed in the literature, and tested in synthetic problems. In this paper we analyze the performance of the μ-GA ELM in small 1-dimensional problems, where our results agree with the ones in previous works in the literature, and also in large real problems, where we will show that the behavior of the algorithm is worse in many cases than that of the ELM, what is a completely novel result.

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Paniagua-Tineo A, Salcedo-Sanz S, Ortiz-García EG, Gascón-Moreno J, Saavedra-Moreno B, Portilla-Figueras JA. On the performance of the μ-GA extreme learning machines in regression problems. In Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings. PART 2 ed. 2011. p. 153-160. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-21498-1_20

On the performance of the μ-GA extreme learning machines in regression problems

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