| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| NLP |
2006-03-20
10:20 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Fully Differential Multi-Scroll Circuit
Tatsuya Kuroki, Yoshihiko Horio (TDU), Kazuyuki Aihara (JST) |
We propose a CMOS fully-differential multi-scroll circuit. Differential circuit has many advantages. For example, Differ... [more] |
NLP2005-137
pp.1-6 |
| NLP |
2006-03-20
10:45 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
On a relaxation oscillator having triangular thrshold
Hisanari Honda, Satoshi Akatsu, Hiroyuki Torikai, Toshimichi Saito (HU) |
This paper studies dynamics of a relaxation oscillator whose hysteresis thresholds are controlled by a triangular signal... [more] |
NLP2005-138
pp.7-10 |
| NLP |
2006-03-20
11:10 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Differences on rhythmic activities of Class I and Class II neural networks
Ryosuke Hosaka, Tohru Ikeguchi (Saitama Univ.) |
[more] |
NLP2005-139
pp.11-16 |
| NLP |
2006-03-20
11:35 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Solving vehicle routing problems with soft time windows using chaotic neurodynamics
Takashi Hoshino, Takayuki Kimura, Tohru Ikeguchi (Saitama Univ.) |
[more] |
NLP2005-140
pp.17-22 |
| NLP |
2006-03-20
13:00 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
On nonlinear control of chaotic transient state in a forced Duffing system controlled by time delayed feedback
Shinichiro Koyanagi, Tetsuji Kawabe (Kyushu Univ.) |
[more] |
NLP2005-141
pp.23-28 |
| NLP |
2006-03-20
13:25 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Duty ratio control and transient response of Cuk converter focused on energy
Yuzo Murakami, Takashi Hikihara (kyoto Univ.) |
[more] |
NLP2005-142
pp.29-34 |
| NLP |
2006-03-20
13:50 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Ring of van der Pol Oscillators Coupled by Time-Varying Resitor
Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) |
[more] |
NLP2005-143
pp.35-40 |
| NLP |
2006-03-20
14:15 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
A Study on Problem Dependency of GA-based Learning to Binary Neural Networks
Tatsuya Hirane, Hidehiro Nakano, Arata Miyauchi (MI-Tech) |
In this paper, we analyze learning characteristics of a GA-based learning algorithm to Binary Neural Networks (BNNs),
f... [more] |
NLP2005-144
pp.41-45 |
| NLP |
2006-03-20
14:40 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Development of a specified processor suited for GA-based learning to binary neural networks
Akio Takahashi, Tatsuya Hirane, Hidehiro Nakano, Arata Miyauchi (Musashi Inst. Tech.) |
In this paper, we propose a specified processor system suited for executing a GA-based learning method to Binary Neural ... [more] |
NLP2005-145
pp.47-52 |
| NLP |
2006-03-20
15:20 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Two-Staged Tabu Search for Floorplan Problem Using O-Tree Structure
Kimihiko Numayama (Shizuoka Univ), Hiroshi Ninomiya (SIT), Hideki Asai (Shizuoka Univ) |
This papar describes the two-staged Tabu search for the non-slicing floorplan problem using the orderd tree representat... [more] |
NLP2005-146
pp.53-58 |
| NLP |
2006-03-20
15:45 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
SOM parallelized by ART and its applications
Tetsunari Oshime, Takeshi Ehara, Toshimichi Saito, Hiroyuki Torikai (HU) |
In this paper we consider a learning algorithm of paralleled growing SOM and its application to TSP. First, as basic to ... [more] |
NLP2005-147
pp.59-64 |
| NLP |
2006-03-20
16:10 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
CHAOSOM and its Application to Traveling Salesman Problem
Haruna Matsushita, Yoshifumi Nishio (Tokushima Univ.) |
[more] |
NLP2005-148
pp.65-68 |
| NLP |
2006-03-20
16:35 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Network as a chaotic dynamical system
Syuji Miyazaki, Yasushi Nagashima, Kei Ejima (Kyoto Univ.) |
A directed network such as the WWW can be represented by a transition matrix.
Comparing this matrix to a Frobenius-Per... [more] |
NLP2005-149
pp.69-74 |
| NLP |
2006-03-20
17:00 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Surrogate analysis of packet routing methods
Takayuki Kimura, Tohru Ikeguchi (Saitama Univ.) |
We propose a new packet routing method using chaotic neurodynamics.
First, we compose a basic packet routing method wi... [more] |
NLP2005-150
pp.75-80 |
| NLP |
2006-03-21
10:00 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Chaos genaration mechanism of RCL circuit with periodic pulse-train input
Yasuhiro Hirashima, Yusuke Matsuoka, Toshimichi Saito (HU) |
This paper studies chaotic behavior of a simple nonautonomaous circuit consisting of an RCL resonator and one reset swit... [more] |
NLP2005-151
pp.1-6 |
| NLP |
2006-03-21
10:25 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Various synchronization phenomena of pulse-coupled digital spiking neurons
Takahiro Kabe, Hiroyuki Torikai, Toshimichi Saito (HOSEI Univ.) |
[more] |
NLP2005-152
pp.7-11 |
| NLP |
2006-03-21
10:50 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Speeding up reinforcement learning by autonomous construction of state space
Ikuro Ohshima, Hidehiro Nakano, Arata Miyauchi (Musashi Inst. Tech.) |
Then reinforcement learning is applied to real tasks, the calculation amount increases as the number of states increases... [more] |
NLP2005-153
pp.13-17 |
| NLP |
2006-03-21
11:15 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Improvement of Fuzzy ARTMAP by Controlling Match Tracking
Kentaro Nomura, Takeshi Kamio, Hisato Fujisaka, Kazuhisa Haeiwa (Hiroshima City Univ.) |
Adaptive resonance theory neural network (ART) is an unsupervised learning system that can generate and grow the recogni... [more] |
NLP2005-154
pp.19-24 |
| NLP |
2006-03-21
11:40 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Evaluating progress of reinforcement learning using recurrence plots
Tetsuya Takahashi, Masaharu Adachi (TDU) |
(To be available after the conference date) [more] |
NLP2005-155
pp.25-30 |
| NLP |
2006-03-21
13:00 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Stationary signal estimation using a tensor product that minimizes absolute error
Akitoshi Itai, Hiroshi Yasukawa (Aichi Prefectural Univ.), Ichi Takumi (Nagoya Institute of Technology), Masayasu Hata (Chubu Univ.) |
This paper proposes a new stationary signal estimation method using a tensor product expansion whose error function is a... [more] |
NLP2005-156
pp.31-36 |