International Journal of Networked and Distributed Computing

Volume 2, Issue 3, August 2014, Pages 166 - 174

One-D-R-A-G-SOM and its Application to a Hand Shape Instruction Learning System

Authors
Takashi Kuremoto, Takuhiro Otani, Shingo Mabu, Masanao Obayashi, Kunikazu Kobayashi
Corresponding Author
Takashi Kuremoto
Available Online 1 August 2014.
DOI
10.2991/ijndc.2014.2.3.6How to use a DOI?
Keywords
SOM, PL-G-SOM, HMI, reinforcement learning, hand shape instruction
Abstract

In this paper, a novel self-organizing map (SOM) named “One-D-R-A-G-SOM” is proposed. It is a kind of one dimensional ring type growing SOM using asymmetric neighborhood function. As the topology of one dimensional ring type feature map is more suitable to increase or decrease the number of units, and the disorder of the map is available to be solved by the asymmetric neighborhood function, the proposed model gives priority of learning performance to the conventional two dimensional growing SOM. Additionally, One-D-R-A-G-SOM is introduced to a hand shape recognition and instruction learning system. Experiment results showed the effectiveness of the novel system comparing with systems using the conventional SOMs.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Networked and Distributed Computing
Volume-Issue
2 - 3
Pages
166 - 174
Publication Date
2014/08/01
ISSN (Online)
2211-7946
ISSN (Print)
2211-7938
DOI
10.2991/ijndc.2014.2.3.6How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Takashi Kuremoto
AU  - Takuhiro Otani
AU  - Shingo Mabu
AU  - Masanao Obayashi
AU  - Kunikazu Kobayashi
PY  - 2014
DA  - 2014/08/01
TI  - One-D-R-A-G-SOM and its Application to a Hand Shape Instruction Learning System
JO  - International Journal of Networked and Distributed Computing
SP  - 166
EP  - 174
VL  - 2
IS  - 3
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2014.2.3.6
DO  - 10.2991/ijndc.2014.2.3.6
ID  - Kuremoto2014
ER  -