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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
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
 Results 1 - 13 of 13  /   
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