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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2023-03-17
16:45		 Nagasaki
(Primary: On-site, Secondary: Online)		 Enhancement of functionality in Deep Echo State Network by optimizing leak rate
Shuichi Inoue, Sou Nobukawa (CIT), Haruhiko Nishimura (UOH), Eiji Watanabe (NIBB), Teijiro Isokawa (UOH) MSS2022-110 NLP2022-155		 Deep echo state network (Deep-ESN) model consists of multiple reservoir layers, which can respond on layer-specific diff... [more] MSS2022-110 NLP2022-155
pp.231-236
DE, IPSJ-DBS 2020-12-21
14:30		 Online Online DE2020-19 (To be available after the conference date) [more] DE2020-19
pp.13-18
DE, IPSJ-DBS 2020-12-21
15:20		 Online Online DE2020-21 (To be available after the conference date) [more] DE2020-21
pp.24-29
DE, IPSJ-DBS 2020-12-22
12:40		 Online Online DE2020-24 (To be available after the conference date) [more] DE2020-24
pp.42-47
NC 2012-07-30
13:45		 Shiga Ritsumeikan Univ. College of Information Science and Engineering On local analytic activation function in quaternionic hopfield neural network
Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui (Univ. Hyogo) NC2012-18		 It is difficult to introduce appropriate activation functions to neural networks in the hypercomplex domains, and few fu... [more] NC2012-18
pp.25-30
MBE, NC
(Joint)		 2012-03-16
16:25		 Tokyo Tamagawa University On Automatic Detection for Waggle Dancing Workers from Spatio-Temporal Images
Masaki Fujii, Teijiro Isokawa, Hidetoshi Ikeno, Naotake Kamiura, Ayumu Saitoh, Nobuyuki Matsui (Univ. Hyogo) MBE2011-147		 Waggle dance is a type of communication methods performed by honeybee workers, such as {\it Apis mellifera}.
This dance... [more]		 MBE2011-147
pp.207-212
NC 2011-07-25
10:20		 Hyogo Graduate School of Engineering, Kobe University Stability Analysis on Multistate Hopfield Neural Networks Based on Commutative Quaternion
Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui (Univ. Hyogo) NC2011-20		 Two types of multistate Hopfield neural networks are explored in this paper.
These networks are based on commutative qu... [more]		 NC2011-20
pp.1-6
NLP 2009-11-14
09:35		 Kagoshima   On the Iterative Learning Schemes in Hypercomplex-Valued Hopfield Neural Networks
Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui (Univ. of Hyogo) NLP2009-114		 This paper presents two types of learning rules for complex-valued and quaternionic hopfield neural networks.
The state... [more]		 NLP2009-114
pp.181-186
ICD, CPM 2005-01-28
15:45		 Tokyo Kikai-Shinko-Kaikan Bldg. Learning-Based Improvement in Fault Tolerance of Hopfield Associative Memories
Naotake Kamiura, Teijiro Isokawa, Nobuyuki Matsui (Univ. of Hyogo) 		Hopfield neural networks tolerating weight faults are presented. The weight restriction and fault injection are adopted... [more] CPM2004-172 ICD2004-217
pp.59-64
 Results 1 - 9 of 9  /   
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