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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
WBS, SAT
(Joint)
2017-05-25
15:50
Tochigi Utsunomiya Univ. Yoto Campus [Special Talk] Dynamic Beam Control for Next Generation Mobile Communication Satellite with Large Deployable Antenna
Maki Akioka, Amane Miura, Morio Toyoshima, Teruaki Orikasa, Masaki Sato, Hiroyuki Tsuji, Yoshiyuki Fujino (NICT), Tetsuji Katayama, Yoshihiro Oshida, Masahiko Sunagawa, Osamu Yoshida, Tsuyoshi Kuzumaki, Yuta Horiuchi, Yu Itoh, Keiichi Yano (Softbank) SAT2017-4
For mobile communication satellite for next generation satellite mobile communication service, very large aperture deplo... [more] SAT2017-4
pp.19-24
MBE, NC
(Joint)
2014-11-21
11:00
Miyagi Tohoku University A Comparison of Back Propagation Learning between the Inverse-function Delayless Model and a Conventional Model
Yuta Horiuchi (Tohoku Univ), Yoshihiro Hayakawa (SNCT), Takeshi Onomi, Koji Nakajima (Tohoku Univ) NC2014-26
For the combinatorial optimization problem using the hopfield model, avoidance of the local minimum problem is important... [more] NC2014-26
pp.7-10
NLP 2014-06-30
16:00
Miyagi Tohoku Univ. Backpropagation learning using inverse function delay-less model
Yuta Horiuchi (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Takeshi Onomi, Koji Nakajima (Tohoku Univ.) NLP2014-25
The Inverse function Delayed (ID) model has been proposed as one of novel neural models. ID model has a oscillation capa... [more] NLP2014-25
pp.27-30
NLP 2014-01-21
15:40
Hokkaido Niseko Park Hotel Neural Network learning using Inverse Function Delayless Model
Yuta Horiuchi (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2013-142
The Inverse function Delayed (ID) model has been proposed as one of novel neural models. The ID model has an ability of ... [more] NLP2013-142
pp.73-76
 Results 1 - 4 of 4  /   
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