Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MBE, NC (Joint) |
2022-03-02 09:30 |
Online |
Online |
A Study on Improvement of Recognition Accuracy and Speed-up of SOM-based Classification System Shun Tasaka, Hiroomi Hikawa (Kansai Univ.) NC2021-46 |
This paper discusses a new type of image classifier called class-SOM, which is based on self-organizing map (SOM).
The... [more] |
NC2021-46 pp.1-4 |
NLP, NC (Joint) |
2020-01-25 13:10 |
Okinawa |
Miyakojima Marine Terminal |
Self-Organizing Map with Triangular Neighborhood Function Based on Frequency-Modulated Signal Hiroomi Hikawa (Kansai Univ.) NC2019-70 |
[more] |
NC2019-70 pp.63-68 |
MBE, NC, NLP (Joint) |
2018-01-27 14:00 |
Fukuoka |
Kyushu Institute of Technology |
Hardware Self-Organizing Map Based on Frequency-Modulated Signal and Digital Frequency-Locked Loop Hiroomi Hikawa, Hidetaka Ito (Kansai Univ.) NC2017-64 |
[more] |
NC2017-64 pp.83-88 |
MBE, NC (Joint) |
2017-10-07 15:40 |
Osaka |
Osaka Electro-Communication University |
Learning Characteristics of Self-Organizing Map with Adaptive Neighborhood Function Hikari Yoshimi, Hidetaka Ito, Hiroomi Hikawa (Kansai Univ.) NC2017-23 |
This paper proposes a new neighborhood function for the self-organizing map(SOM).As the learning of the SOM progresses,... [more] |
NC2017-23 pp.19-24 |
NLP, CAS |
2017-10-06 11:05 |
Niigata |
Machinaka Campus Nagaoka |
Complete synchronization of mixed-mode oscillations and MMO-incrementing bifurcations in two coupled driven BVP oscillators Katsuhiro Ogawa, Naohiko Inaba (Meiji Univ.), Hidetaka Ito, Hiroomi hikawa (Kansai Univ.), Kuniyasu Shimizu (Chiba Inst. Tech.), Tetsuro Endo (Meiji Univ.) CAS2017-35 NLP2017-60 |
In this study, we propose two weakly coupled BVP oscillators, each of which can generate mixed-mode oscillations (MMOs) ... [more] |
CAS2017-35 NLP2017-60 pp.59-64 |
NC, NLP (Joint) |
2017-01-27 13:25 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
A study on multilayered neural network with simultaneous perturbation learning rule Kenji Onoue, Hidetaka Ito, Hiroomi Hikawa (Kansai Univ) NC2016-58 |
This paper describes a study on multilayered neural network with simultaneous perturbation learning rule.
The learning ... [more] |
NC2016-58 pp.59-64 |
NC, NLP (Joint) |
2017-01-27 14:50 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
Parallel winner search circuit for hardware self-organizing map Shoya Ueda, Hiroomi Hikawa (Kansai Univ.) NC2016-61 |
[more] |
NC2016-61 pp.77-82 |
MBE, BioX, NC |
2016-10-22 09:00 |
Osaka |
Osaka Electro-Communication University |
Real Time Gesture Recognition System with Spotting Function Yuta Ichikawa, Hidetaka Ito, Hiroomi Hikawa (Kansai Univ.) BioX2016-17 MBE2016-31 NC2016-16 |
[more] |
BioX2016-17 MBE2016-31 NC2016-16 pp.1-6 |
NC, NLP (Joint) |
2016-01-28 14:35 |
Fukuoka |
Kyushu Institute of Technology |
Effect of grouping in vector recognition system Based on SOM Masayoshi Ohta, Ito Daigo, Hiroomi Hikawa (Kansai Univ.) NC2015-56 |
Abstract This paper discusses effect of grouping based on self-organising map.The SOM is a one of unsupervised
learning... [more] |
NC2015-56 pp.1-6 |
NC |
2015-01-30 10:25 |
Fukuoka |
Kyushu Institute of Technology |
Winner-Take-All neural network with DPLL considering scalability Masaki Azuma, Hiroomi Hikawa (Kansai Univ.) NC2014-65 |
This paper proposes a hardware winner-take-all neural network (WTANN) that employs a new winner-take-all (WTA) circuit w... [more] |
NC2014-65 pp.47-52 |
NC |
2008-11-08 10:30 |
Saga |
Saga Univ. |
Automatic generation of self organizing map hardware Akira Onoo (Oita Univ.), Hiroomi Hikawa (Kansai Univ.) NC2008-65 |
This paper discusses the development of hardware Self-Organizing Map (SOM) generator, which generates VHSIC Hardware Des... [more] |
NC2008-65 pp.37-42 |
NC |
2006-11-10 16:45 |
Saga |
Saga University |
Vector Quantization Algorithm for Hardware Implementation Shigeki Matsubara, Hiroomi Hikawa (Oita Univ.) |
[more] |
NC2006-62 pp.37-42 |
NLP |
2005-01-24 14:50 |
Kagawa |
Kagawa Univ. |
Environment recognition method for autonomous mobile robot by using the Self-Organizing Map Mitsuru Nakagawa, Hiroomi Hikawa, (Oita Univ.) |
This paper discuses the location recognition of the autonomous mobile robot by using Self-Organizing Map (SOM). Directio... [more] |
NLP2004-92 pp.21-26 |