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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 24  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS 2019-04-19
10:25
Kagoshima Tenmonkan Vision Hall Dynamic Network Slicing for Constructing Communication Network with High Fault Resistance
Atsushi Miyaji, Yasuhiro Urayama (National Institute of Technology, Kochi College) NS2019-12
Since 2020, several kinds of services with the 5G, such as video streaming with VR(Virtual Reality) and auto driving sys... [more] NS2019-12
pp.67-72
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2017-07-27
10:45
Akita Akita Atorion-Building (Akita) CPSY2017-24 (To be available after the conference date) [more] CPSY2017-24
pp.83-88
ED, SDM 2017-02-24
11:50
Hokkaido Centennial Hall, Hokkaido Univ. A New Computing A New Computing Architecture Using Ising Spin Model Implemented on FPGA for Solving Combinatorial Optimization ProblemsArchitecture by Ising Spin Model for Solving Combinatorial Optimization Problems Implemented on FPGA
Yusuke Kihara, Mitsuki Ito, Takanari Saito, Masayuki Shiomura, Shotaro Sakai, Jun-ichi Shirakashi (Tokyo Univ. of Agr. & Tech.) ED2016-134 SDM2016-151
Recently, the new computing architecture using Ising spin model has been attracting considerable attention. It is well k... [more] ED2016-134 SDM2016-151
pp.23-28
NS, IN
(Joint)
2015-03-03
15:40
Okinawa Okinawa Convention Center An Analysis Study on the Impact of Network Topology on the Performance of TDMA-based Multihop Wireless Networks
Kai Koyama, Go Hasegawa, Morito Matsuoka (Osaka Univ.) NS2014-274
In TDMA-based multihop wireless networks, we need to assign time slots to links according to their traffic load, that is... [more] NS2014-274
pp.571-576
RCS, NS
(Joint)
2014-12-19
13:30
Mie Iseshi-Kanko-Bunka-Kaikan (Mie) An Optimization Algorithm of AP Placement applying Particle Swarm Optimization in Wireless Mesh Networks
Takuma Hoshi, Akio Koyama (Yamagata Univ.) NS2014-157
Wireless Mesh Networks (WMN) which connects among WLANs by wireless link can cover the wide area inexpensively and easil... [more] NS2014-157
pp.57-62
NLP 2014-01-21
13:50
Hokkaido Niseko Park Hotel Solving Optimization Problems Using DS-net and IDL model
Yuto Watanabe (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2013-137
The Inverse function DelayLess (IDL) model has been proposed as one of novel neural models. Since the IDL model can set ... [more] NLP2013-137
pp.45-50
NLP 2013-10-29
13:45
Kagawa Sanport Hall Takamatsu Fast Calculation of High functional Neural Network by using GPU
Kouta Tanno (Tohoku Univ.), Yoshihiro Hayakawa (Sendai NCT) NLP2013-101
A GPU can compute in highly parallel because it has many cores (processing units). Though it is reported that a high fun... [more] NLP2013-101
pp.165-168
NLP 2012-12-18
09:45
Fukui Fukui City Communication Plaza Inverse Function Delayless (IDL) Model
Yuto Watanabe (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2012-98
The Inverse function Delayed (ID) model has been proposed as one of novel neural models. The ID model has the negative r... [more] NLP2012-98
pp.57-60
NC 2012-10-04
17:45
Fukuoka Kyushu Institute of Technology (Wakamatsu Campus) An Application of the Virtual Magnetic Diminuendo Method to Combinatorial Optimization Problems -- Towards Autonomous System for Effective Assignment --
Hiroshi Wakuya, Taichi Inoue, Hideaki Itoh, Hisao Fukumoto, Tatsuya Furukawa (Saga Univ.) NC2012-48
In general, there are quite a lot of constraints, when we try to solve actual combinatorial optimization problems. A fa... [more] NC2012-48
pp.67-72
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 2010-11-20
10:55
Miyagi Tohoku University (RIEC) A Modular Neural Network for Parallel Computation
Daisuke Sasaki, Yoshihiro Hayakawa (Sendai NCT) NLP2010-110
Some of combinatorial optimization problems cause exponential increases of calculation time in terms of a problem size. ... [more] NLP2010-110
pp.55-60
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
KBSE 2010-01-25
16:40
Tokyo Univ. of Tsukuba, Tokyo A Chinese poetry polish course as the issue of combination optimization with the limitation
Muhnong Yu, Seiichi Komiya (Shibaura Inst. of Tech.) KBSE2009-52
 [more] KBSE2009-52
pp.25-28
NLP 2009-05-15
16:10
Shiga Ritsumeikan University Parameter Adjusting of the Chaotic Search Method to Multiple Sequence Alignment
Takafumi Matsuura, Tohru Ikeguchi (Saitama Univ.) NLP2009-10
An algorithm for solving combinatorial optimization problems by chaotic neurodynamics has already been proposed and exhi... [more] NLP2009-10
pp.45-50
RECONF 2009-05-14
15:10
Fukui   Proposal and Implementation of High Throughput Algorithm for Combination Generation
Akira Tsuji, Norio Yamagaki, Satoshi Kamiya (NEC) RECONF2009-5
Combinatorial optimization problems are widely exist.
Generally they are solved by approximate means like greedy method... [more]
RECONF2009-5
pp.25-30
NLP 2008-12-10
15:05
Ishikawa   Autonomous Optimization of Wireless Networks based on Neural Network Dynamics
Mikio Hasegawa, Taichi Takeda, Taro Kuroda (Tokyo Univ. of Science), Hiroshi Harada (National Institute of Information and Communications Technology) NLP2008-88
Various radio access technologies have been developed and commercialized. Since available frequency band for new wireles... [more] NLP2008-88
pp.95-100
NC 2008-11-07
14:55
Saga Saga Univ. A Visualized Analysis on State Transition in Hopfield Network -- An Application to Search Process of N Queens Problem --
Kiyotaka Yamashita, Hiroshi Wakuya (Saga Univ.) NC2008-60
A Hopfield network is a good tool for solving combinatorial optimization problems, but it sometimes reaches a poor solut... [more] NC2008-60
pp.7-12
SR, RCS, USN, AN
(Joint)
2008-10-23
09:50
Okinawa Okinawa industry support center [Invited Talk] Cognitive Wireless Networks and Autonomous Optimization Algorithms
Mikio Hasegawa (Tokyo Univ. of Science/NICT) RCS2008-114 SR2008-51 AN2008-39 USN2008-51
Various combinatorial optimization algorithms have been proposed and applied to various problems in many fields. As one ... [more] RCS2008-114 SR2008-51 AN2008-39 USN2008-51
pp.69-74(RCS), pp.91-96(SR), pp.59-64(AN), pp.77-82(USN)
NC, NLP 2008-06-27
16:00
Okinawa University of the Ryukyus A visualized analysis on state transition in Hopfield network -- Search process of combinatorial optimization problems --
Kiyotaka Yamashita, Hiroshi Wakuya (Saga Univ.) NC2008-28
A Hopfield network is a good tool for solving combinatorial optimization problems, even though it sometimes fails to fin... [more] NC2008-28
pp.85-90
NLP 2008-03-28
13:30
Hyogo   A New Chaotic Algorithm for Solving Traveling Salesman Problems by Using 2-opt and Or-opt Algorithms
Takafumi Matsuura, Tohru Ikeguchi (Saitama Univ.) NLP2007-173
To nd the near optimum solutions of TSPs, a method introducing chaotic neurodynamics for solving TSPs has already been ... [more] NLP2007-173
pp.37-42
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