Growing RBF structures using self-organizing maps

Qingyu Xiong, Kotaro Hirasawa, Jinglu Hu, Junichi Murata

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

1 Citation (Scopus)

Abstract

We present a novel growing RBF network structure using SOM in this paper. It consists of SOM and RBF networks respectively. The SOM performs unsupervised learning and also the weight vectors belonging to its output nodes are transmitted to the hidden nodes in the RBF networks as the centers of RBF activation functions. as a result one to one correspondence relationship is realized between the output nodes in SOM and the hidden nodes in RBF networks. The RBF networks perform supervised training using delta rule. Therefore, the current output errors in the RBF networks can be used to determine where to insert a new SOM unit according to the rule. This also makes it possible to make the RBF networks grow until a performance criterion is fulfilled or until a desired network size is obtained. The simulations on the two-spirals benchmark are shown to prove the proposed networks have good performance.

Original languageEnglish
Title of host publicationProceedings - 9th IEEE International Workshop on Robot and Human Interactive Communication, IEEE RO-MAN 2000
Pages107-109
Number of pages3
DOIs
Publication statusPublished - 2000 Dec 1
Externally publishedYes
Event9th IEEE International Workshop on Robot and Human Interactive Communication, IEEE RO-MAN 2000 - Osaka, Japan
Duration: 2000 Sep 272000 Sep 29

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Conference

Conference9th IEEE International Workshop on Robot and Human Interactive Communication, IEEE RO-MAN 2000
CountryJapan
CityOsaka
Period00/9/2700/9/29

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

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  • Cite this

    Xiong, Q., Hirasawa, K., Hu, J., & Murata, J. (2000). Growing RBF structures using self-organizing maps. In Proceedings - 9th IEEE International Workshop on Robot and Human Interactive Communication, IEEE RO-MAN 2000 (pp. 107-109). [892479] (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication). https://doi.org/10.1109/ROMAN.2000.892479