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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP | 2012-03-27 16:05 |
Nagasaki | Fukue Cultural Hall | Designing method of Energy Functions for Solving Combinatorial Optimization Problems by the Network with Higher-order Connections Takahiro Sota (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.)  NLP2011-148 |
We have proposed the Inverse function Delayed network with Higher order synaptic Connections (HC-ID network) to solve va... [more] | NLP2011-148 pp.39-44 |
| NLP | 2011-03-11 13:30 |
Tokyo | Tokyo University of Science | Higher order neural network with stochastic logic Takahiro Sota (Tohoku Univ.), Yoshihiro Hayakawa (Sendai National College of Technology), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2010-189 |
We have proposed the method to solve various combinatorial optimization problems such as Traveling Salesman Problems (TS... [more] | NLP2010-189 pp.149-152 |
| NLP | 2010-11-19 13:55 |
Miyagi | Tohoku University (RIEC) | Dynamical behavior of bursting oscillation in terms of spatiotemporal pattern of potential with active areas Koji Kurose (Tohoku Univ.), Yoshihiro Hayakawa (Sendai National College of Technology), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2010-100 |
Various type models including Hodgkin-Huxley model express the firing dynamics of the biological neuron. These neuron mo... [more] | NLP2010-100 pp.7-10 |
| NLP | 2010-11-19 14:20 |
Miyagi | Tohoku University (RIEC) | Solving Method of Conbinatorial Optimization Problems Based on Quartic Form Energy Function for Solving Larger Problems Takahiro Sota (Tohoku Univ.), Yoshihiro Hayakawa (Sendai National College of Tech.), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2010-101 |
We have proposed the Inverse function Delayed network with Higher order synaptic Connection (HC-ID network) to solve var... [more] | NLP2010-101 pp.11-16 |
| NLP | 2010-03-10 10:00 |
Tokyo | Neural Networks and the Application to the 4-Queen Problem Yusuke Maenami, Takeshi Onomi (Tohoku Univ), Yoshihiro Hayakawa (Sendai Nat Coll. of Tech.), Shigeo Sato, Koji Nakajima (Tohoku Univ) NLP2009-172 |
A combination optimization problem is generally NP difficulty or NP completeness. When problem size becomes large, it is... [more] | NLP2009-172 pp.81-85 |
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| NLP | 2010-03-10 13:25 |
Tokyo | Behavior of coupled oscillators in a quadratic potential with active area Koji Kurose, Takahiro Sota (Tohoku Univ.), Yoshihiro Hayakawa (Sendai Nat Coll. of Thech.), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2009-177 |
Neuron models express the dynamics of the biological neuron and there are various neuron models that are proposed and st... [more] | NLP2009-177 pp.109-113 |
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| NLP | 2010-03-10 15:15 |
Tokyo | Discrete Time Inverse Function Delayed Network with Higher-Order Connections Takahiro Sota, Koji Kurose (Tohoku Univ.), Yoshihiro Hayakawa (Sendai Nat Coll. of Tech.), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2009-181 |
The Inverse function Delayed network with higher-order connection (HCID network) has been proposed to solve combinatoria... [more] | NLP2009-181 pp.131-136 |
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| ED, SDM | 2010-02-22 13:00 |
Okinawa | Okinawaken-Seinen-Kaikan | Neuromorphic adiabatic quantum computation based on phosphorus nuclear spin array in Si Mitsunaga Kinjo (Univ. of the Ryukyus), Shigeo Sato (Tohoku Univ.) ED2009-196 SDM2009-193 |
[more] | ED2009-196 SDM2009-193 pp.1-3 |
| 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 |
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| 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 |
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| NC | 2006-06-16 11:20 |
Okinawa | OIST | A Study on Learning Algorithm for a Quantum Neural Network Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima (R.I.E.C., Tohoku Univ.) |
[more] | NC2006-28 pp.37-40 |
| SCE | 2006-01-27 14:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Macroscopic quantum tunneling in Bi2212 intrinsic Josephson junctions Kunihiro Inomata (RIKEN), Shigeo Sato, Yuuki Nakamiya, Mitsunaga Kinjo (Tohoku Univ.), Huabing Wang, Takeshi Hatano (NIMS), Koji Nakajima (Tohoku Univ.) |
It has been known that dissipation with quasi particles originated from the geometrical property of superconducting gap ... [more] | SCE2005-26 pp.19-24 |
| NLP | 2005-11-19 11:25 |
Fukuoka | Kyushu Institute of Technology | A new STDP type leaning rule derived by minimizing K-L distance for a spiking neural network Kun Ma, Shigeo Sato, Koji Nakajima (Tohoku Univ.) |
[more] | NLP2005-76 pp.31-34 |
| NLP | 2005-05-17 14:30 |
Yamagata | Yamagata Univ (Yonezawa) | Basic Property of a Quantum Neural Network Composed of Kane's Qubits Yuuki Nakamiya, Mitsunaga Kinjo, Osamu Takahashi, Shigeo Sato, Koji Nakajima (R.I.E.C., Tohoku Univ.) |
[more] | NLP2005-4 pp.17-21 |
| NLP | 2004-11-27 11:15 |
Fukuoka | Kyushu Inst. Tech. | * , Shigeo Sato, (Tohoku Univ.) |
[more] | NLP2004-82 pp.37-42 |
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