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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 18 of 18  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
ICTSSL, CAS 2023-01-26
10:30
Tokyo TBD
(Primary: On-site, Secondary: Online)
On Recall of Associative Memory about Color Images in a Hopfield Neural Network
Chihiro Yanagi, Syunske Hara, Motohiro Fujii, Kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-63 ICTSSL2022-27
In this report, we discuss a method to store color images divided into RGB in the Hopfield Network implemented on Julia ... [more] CAS2022-63 ICTSSL2022-27
pp.10-13
MBE, NC
(Joint)
2013-03-13
13:20
Tokyo Tamagawa University A Proposal of Incremental Learning on Spiking Hopfield Network
Hideaki Ikeda, Yukari Yamauchi (Nihon Univ.) NC2012-142
This research proposes Spiking Hopfield Network with input layer expanded from a research of SASAKI et al. It has a mech... [more] NC2012-142
pp.49-54
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
NLP 2012-04-20
10:45
Mie Ise City Plaza Associative Memory by Small-World Hopfield Network with Local Bridges
Tomoya Shima, Chihiro Ikuta, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2012-14
The Hopfield Neural Network (HNN) is one of artificial neural networks. Every neurons in the HNN is connected to each ot... [more] NLP2012-14
pp.73-78
NC 2012-01-26
09:00
Hokkaido Future University Hakodate Storage capacity of the associative memory model with the zero-order synaptic decay
Ryota Miyata (Tokyo Tech.), Jun Tsuzurugi (Okayama Univ. Sci.), Toru Aonishi (Tokyo Tech.), Koji Kurata (Univ. Ryukyu.) NC2011-97
It has been reported that synaptogenesis, formation of synaptic connection, continues to take place in certain regions o... [more] NC2011-97
pp.1-6
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
NC, NLP 2011-01-24
15:35
Hokkaido Hokakido Univ. [Invited Talk] Pattern-recalling processes in a quantum-mechanical variant of the Hopfield model
Jun-ichi Inoue (Hokkaido Univ.) NLP2010-135 NC2010-99
As a mathematical model of associative memories,
the Hopfield model was well-established
and a lot of studies
to ... [more]
NLP2010-135 NC2010-99
pp.63-68
NLP 2010-12-13
13:50
Tottori Yonago Convention Center Investigation of Image Processing by Partitioned Hopfield Neural Network
Tomoya Shima, Chihiro Ikuta, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2010-119
Memory ability of human is one of interesting high-functional information processings. In this study, in order to reali... [more] NLP2010-119
pp.43-47
NLP 2010-11-20
10:30
Miyagi Tohoku University (RIEC) Probability Calculation using Hopfield Networks
Kouta Tanno, Kenichi Takahashi, Yoshihiro Hayakawa (Sendai NCT) NLP2010-109
We applied the methods for solving a combinatorial optimization problem by using neural networks to a famous game, mine... [more] NLP2010-109
pp.49-54
NC, MBE
(Joint)
2010-03-09
16:25
Tokyo Tamagawa University Emergence of Robot Planning out of Neural Networks interaction -- A Case of Warehouse Keeper Puzzle (Soukoban) --
Kairi Miyazaki, Satoshi Matsuda (Nihon Univ.) NC2009-111
Based on the hypothesis that all intellectual activities of human being are performed as optimization processes, we desi... [more] NC2009-111
pp.137-142
NLP 2009-11-11
14:00
Kagoshima   Hopfield Network and Adiabatic Quantum Computation
Shigeo Sato (Tohoku Univ.), Mitsunaga Kinjo (Univ. of the Ryukyus), Koji Nakajima (Tohoku Univ.) NLP2009-91
Recent development of nano-technology makes possible to implement qubits. In this report,
we consider a method to utili... [more]
NLP2009-91
pp.51-54
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
AI, IPSJ-ICS, JSAI-KBS 2009-03-04
11:50
Miyagi Laforet Zao Resort & Spa Solving Puzzle with Neural Network -- Hopfield Network can Solve Sudoku --
Akihiro Ohtani, Satoshi Matsuda (Nihon Univ) AI2008-88
We show that Hopfield network can solve all the Sudoku puzzles we have attacked so far. Most of them are very difficult ... [more] AI2008-88
pp.141-146
NLP, CAS 2008-10-14
12:05
Miyagi   Study on the computational power of neuromorphic adiabatic quantum computation
Aiko Ono, Shigeo Sato (Tohoku Univ.), Mitsunaga Kinjo (Univ. of the), Koji Nakajima (Tohoku Univ.) CAS2008-36 NLP2008-48
Quantum computation algorithms indicate possibility that non-deterministic polynomial time (NP-time) problems can be sol... [more] CAS2008-36 NLP2008-48
pp.13-18
NLP 2007-12-20
14:15
Fukui   A Method for solving Asymmetric Traveling Salesman Problems using Block Shift Operations and Point Classification by Self-organizing Maps
Toshihiro Tachibana, Masaharu Adachi (Tokyo Denki Univ.) NLP2007-127
In this report, an improved method for solving Asymmetric Travelling Salesman Problems (ATSP) is proposed. Where the asy... [more] NLP2007-127
pp.35-40
NC 2007-06-15
13:00
Okinawa OIST Seaside House Solving Sudoku Puzzle with Hopfield Network
Akihiro Ohtani, Satoshi Matsuda (Nichi Univ) NC2007-20
Based on the insight that all the intellectual activities of human beings are carried out as optimization process, we al... [more] NC2007-20
pp.69-74
CS, CAS, SIP 2005-03-14
14:20
Okayama Okayama Prefectural University Circular microphone arrays for estimating location of sound sources with Hopfield neural network
Ryuudou Nagase, Kunio Oishi (TUT), Hajime Kubota (CIT)
This paper presents a direction of arrival estimation of sound sources using the Hopfield neural network with the microp... [more] CAS2004-92 SIP2004-135 CS2004-228
pp.59-64
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 - 18 of 18  /   
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