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Technical Committee on Nonlinear Problems (NLP)  (Searched in: 2009)

Search Results: Keywords 'from:2010-03-09 to:2010-03-09'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 31  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2010-03-09
08:30
Tokyo   Oversampling Sigma-Delta Cellular Neural Networks using MASH
Masatake Hirano (Sophia Univ.), Hisashi Aomori (Tokyo Univ. of Sci.), Tsuyoshi Otake (Tamagawa Univ.), Mamoru Tanaka (Sophia Univ.) NLP2009-157
The sigma-delta cellular neural network (SD-CNN) is a novel framework of spatial domain sigma-delta modulation
utilizin... [more]
NLP2009-157
pp.1-4
NLP 2010-03-09
08:55
Tokyo   Bifurcation of super-stable periodic orbits in a simplified model of boost converter with solar cell input
Takashi Maeda, Toshimichi Saito (HUHosei Univ.) NLP2009-158
This paper studies nonlinear dynamics of basic maximum power point tracker in current mode control.
For convenience of... [more]
NLP2009-158
pp.5-8
NLP 2010-03-09
09:20
Tokyo   Reconstruction of input information using transformation from spike train to continuous-time series
Mai Suzuki, Kaori Kuroda, Yutaka Shimada, Tohru Ikeguchi (Saitama Univ.) NLP2009-159
Neurons code input information and generate spike trains. The generated spike trains reflect the input information. In t... [more] NLP2009-159
pp.9-14
NLP 2010-03-09
09:45
Tokyo   On the 3D Inverse Problem of ECG Electric Dipole Dynamics
Akira Ohashi, Masahiro Nakagawa (Nagaoka Univ. of Tech.) NLP2009-160
As is well known, the electrocardiogram (ECG) is widely used for diagnosis of heart.
The objective of this research is ... [more]
NLP2009-160
pp.15-20
NLP 2010-03-09
10:20
Tokyo   Finding Course of Ships by Multi-Agent Reinforcement Learning with A Priori Knowledge
Takeshi Kamio (Hiroshima City Univ.), Kunihiko Mitsubori (Takusyoku Univ.), Takahiro Tanaka (Japan Coast Gurad Academy), Chang-Jun Ahn, Hisato Fujisaka, Kazuhisa Haeiwa (Hiroshima City Univ.) NLP2009-161
 [more] NLP2009-161
pp.21-26
NLP 2010-03-09
10:45
Tokyo   Fusion of a Simple Genetic Algorithm and a Boltzmann Machine Exhibiting 1/f Noise
Mitsuhiro Yamada (Ibaraki Univ.) NLP2009-162
A fusion of a simple genetic algorithm and a Boltzmann machine (FSGABM) is suggested here, as a new architecture, in whi... [more] NLP2009-162
pp.27-30
NLP 2010-03-09
11:10
Tokyo   Soft Tabu Search for Solving Traveling Salesman Problem
Takafumi Matsuura, Tohru Ikeguchi (Saitama Univ.) NLP2009-163
To avoid local minima of combinatorial optimization problems, the tabu search have been proposed. Although the tabu sear... [more] NLP2009-163
pp.31-36
NLP 2010-03-09
11:35
Tokyo   An Application of Lin-Kernighan Algorithm to Quadratic Assignment Problems
Kazuaki Shibata, Yoshihiko Horio (Tokyo Denki Univ.) NLP2009-164
A 2-opt local search driven by a chaotic neural network (exponential chaotic tabu search) was proposed for quadratic ass... [more] NLP2009-164
pp.37-42
NLP 2010-03-09
13:10
Tokyo   Breakdown of Mixed-Mode Oscillations in a Slow-Fast Dynamical System
Naohiko Inaba (Meiji Univ.), Tetsuya Yoshinaga, Ken'ichi Fujimoto (Univ. Tokushima), Takashi Tsubouchi (Univ. Tsukuba), Tetsuro Endo (Meiji Univ.) NLP2009-165
Mixed-mode oscillations in a slow-fast dynamical system under weak periodic perturbation are studied numerically. The m... [more] NLP2009-165
pp.43-46
NLP 2010-03-09
13:35
Tokyo   A Numerical Simulation of Fluxoid Manipulated by External Perturbation
Yohei Hosoe, Tomomichi Hagiwara, Takashi Hikihara (Kyoto Univ.) NLP2009-166
The Time-Dependent Ginzburg-Landau (TDGL) equation is known as a nonlinear equation which enables us to temporally repro... [more] NLP2009-166
pp.47-52
NLP 2010-03-09
14:00
Tokyo   Synchronization Phenomena from an Extremely Simplified Piecewise-Constant Driven Oscillator}
Tadashi Tsubone (Nagaoka Univ. Tech.), Naohiko Inaba (Inaba Lab.), Takashi Tsubouchi (Tsukuba Univ.), Tetsuya Yoshinaga (Tokushima Univ.) NLP2009-167
In this paper, the authors analyze synchronization phenomena generated by an extremely simplified piecewise-constant dri... [more] NLP2009-167
pp.53-58
NLP 2010-03-09
14:25
Tokyo   Micro-process of phase-locking for generating the auditory evoked fields -- Analysis of the phase-locking within each of the trials and across the trials --
Takashi Hamada (AIST) NLP2009-168
Neuromagnetic signals above the auditory cortex were passed through a band-pass filter between 3 and 16 Hz and then divi... [more] NLP2009-168
pp.59-63
NLP 2010-03-09
15:00
Tokyo   [Invited Talk] Dynamics of Coupled Ocillators on Scale-Free Networks
Hiroya Nakao (Kyoto Univ.)
 [more]
NLP 2010-03-09
16:10
Tokyo   [Invited Talk] Analysis of evolution of networks by classical multidimensional scaling
Yutaka Shimada, Yuta Haraguchi, Tohru Ikeguchi (Saitama Univ)
 [more]
NLP 2010-03-10
08:45
Tokyo   Local Dynamics Effect by Rotation Map in Area Intensity Quantization in CNN
Masatoshi Kataoka, Ryo Sekiyama, Tomoko Keino (Sophia Univ.), Hisashi Aomori (Tokyo university of sci.), Mamoru Tanaka (Sophia Univ.) NLP2009-169
 [more] NLP2009-169
pp.65-68
NLP 2010-03-10
09:10
Tokyo   A coupled shift register system based on neuron dynamics and its application
Tetsuro Iguchi, Hiroyuki Torikai (Osaka Univ.) NLP2009-170
A coupled shift register system is a wired system of shift resiters that can generate spike-trains with various spike pa... [more] NLP2009-170
pp.69-74
NLP 2010-03-10
09:35
Tokyo   Stochastic Resonance in a Simple Electrical Circuits having a Double-Well Potential -- Laboratory Experiments with a Single Operational Amplifier --
Akira Utagawa, Tetsuya Asai, Kazunori Yoshida, Yoshihito Amemiya (Hokkaido Univ.) NLP2009-171
In this report we propose a double-well potential system that can easily be implemented by a single operational amplifie... [more] NLP2009-171
pp.75-80
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
NLP 2010-03-10
10:35
Tokyo   On the Emotion and Psychological Measurements based on Fractal Analyses of EEG Signals
Taisuke Abe, Masahiro Nakagawa (Nagaoka Univ. of Tech.) NLP2009-173
Variety of transfer schemes such as vehicle, train, and so on exist for the transportation in the world wide logistics.... [more] NLP2009-173
pp.87-90
NLP 2010-03-10
11:00
Tokyo   Statistical Mechanics of Detecting Overlapping Community Structure
Yukihiro Tsuboshita (Fuji Xerox/Univ. of Tokyo), Masato Okada (Univ. of Tokyo) NLP2009-174
In most of proposed conventional community extraction methods, a network is divided based on the density of the links of... [more] NLP2009-174
pp.91-96
 Results 1 - 20 of 31  /  [Next]  
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