An autonomous learning algorithm of resource allocating network

Toshihisa Tabuchi, Seiichi Ozawa, Asim Roy

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

3 Scopus citations

Abstract

Selecting proper parameters of RBF networks has been a puzzling problem even for batch learning. The parameter selection is usually carried out by an external supervisor. To exclude the intervention by an external supervisor from the parameter selection, we propose a new learning scheme called Autonomous Learning algorithm for Resource Allocating Network (AL-RAN). AL-RAN is an incremental learning algorithm which consists of the following functions: automated data normalization and automated adjustment of RBF widths. In the experiments, we evaluate AL-RAN using nine benchmark datasets in terms of the decision accuracy of data normalization and the final classification accuracy. The experimental results demonstrate that the above two functions in AL-RAN work well and the final classification accuracy of AL-RAN is almost the same as that of a non-autonomous model whose parameters are manually tuned by an external supervisor.

Original languageEnglish (US)
Title of host publicationIntelligent Data Engineering and Automated Learning - IDEAL 2009 - 10th International Conference, Proceedings
Pages134-141
Number of pages8
DOIs
StatePublished - Dec 1 2009
Event10th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2009 - Burgos, Spain
Duration: Sep 23 2009Sep 26 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5788 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2009
CountrySpain
CityBurgos
Period9/23/099/26/09

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Tabuchi, T., Ozawa, S., & Roy, A. (2009). An autonomous learning algorithm of resource allocating network. In Intelligent Data Engineering and Automated Learning - IDEAL 2009 - 10th International Conference, Proceedings (pp. 134-141). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5788 LNCS). https://doi.org/10.1007/978-3-642-04394-9_17