Fusion of topology preserving neural networks

C. Saavedra, R. Salas, H. Allende, C. Moraga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper ensembles of self organizing NNs through fusion are introduced. In these ensembles not the output signals of the base learners are combined, but their architectures are properly merged. Merging algorithms for fusion and boosting-fusion-based ensembles of SOMs, GSOMs and NG networks are presented and positively evaluated on benchmarks from the UCI database. © 2009 Springer Berlin Heidelberg.
Original languageEnglish
Title of host publicationFusion of topology preserving neural networks
Pages517-524
Number of pages8
ISBN (Electronic)3642023185, 9783642023187
DOIs
Publication statusPublished - 16 Nov 2009
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2019 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5572 LNAI
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/19 → …

Fingerprint Dive into the research topics of 'Fusion of topology preserving neural networks'. Together they form a unique fingerprint.

  • Cite this

    Saavedra, C., Salas, R., Allende, H., & Moraga, C. (2009). Fusion of topology preserving neural networks. In Fusion of topology preserving neural networks (pp. 517-524). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5572 LNAI). https://doi.org/10.1007/978-3-642-02319-4_62