Modular Network SOM: Theory, Algorithm and Applications

The modular network SOM (mnSOM) proposed by authors is an extension and generalization of a conventional SOM in which each nodal unit is replaced by a module such as a neural network. It is expected that the mnSOM will extend the area of applications beyond that of a conventional SOM. We set out to...

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Bibliographic Details
Published inLecture notes in computer science pp. 958 - 967
Main Authors Tokunaga, Kazuhiro, Furukawa, Tetsuo
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2006
Springer
SeriesLecture Notes in Computer Science
Subjects
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Connectionism. Neural networks
Exact sciences and technology
Fundamental Technology
Kyushu Institute
Modular Network
Recurrent Neural Network
Unsupervised Learning
Self organization
Neural network
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Summary:The modular network SOM (mnSOM) proposed by authors is an extension and generalization of a conventional SOM in which each nodal unit is replaced by a module such as a neural network. It is expected that the mnSOM will extend the area of applications beyond that of a conventional SOM. We set out to establish the theory and algorithm of a mnSOM, and to apply it to several research topics, to create a fundamental technology that is generally usable only in expensive studies. In this paper, the theory and the algorithm of the mnSOM are reported; moreover, the results of applications of the mnSOM are presented.
ISBN:3540464794
9783540464792
ISSN:0302-9743
1611-3349
DOI:10.1007/11893028_107