Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP |
2014-06-30 13:00 |
Miyagi |
Tohoku Univ. |
Synchronization of master-slave coupled system of 3-D Piecewise-Constant Oscillators Yuya Sekine, Tadashi Tsubone (Nagaoka Univ. of Tech.) NLP2014-19 |
In this study, we consider simply master-slave coupled system of 3-D Piecewise-Constant Oscillators (PCOs).
The oscill... [more] |
NLP2014-19 pp.1-4 |
NLP |
2014-06-30 13:25 |
Miyagi |
Tohoku Univ. |
Design of connection parameters for inducing amplitude death in delay-coupled high-dimensional map networks Tomohiko Watanabe, Yoshiki Sugitani, Keiji Konishi, Naoyuki Hara (Osaka Pref. Univ.) NLP2014-20 |
This report deals with amplitude death in delay-coupled high-dimensional map networks. A stability analysis reveals that... [more] |
NLP2014-20 pp.5-9 |
NLP |
2014-06-30 14:00 |
Miyagi |
Tohoku Univ. |
Irregular rhythms in a mathematical cardiac model for crustacean Tomoya Tarumoto, Hiroyuki Kitajima (Kagawa Univ.), Toru Yazawa (Tokyo Metropolitan Univ.) NLP2014-21 |
[more] |
NLP2014-21 pp.11-14 |
NLP |
2014-06-30 14:25 |
Miyagi |
Tohoku Univ. |
Transformation from discontinuous system to continuous system using sigmoid functions Yusuke Tsuyama, Hiroyuki Kitajima (Kagawa Univ.) NLP2014-22 |
It is necessary for us to understand the natural phenomena in order to live richly and usefully. When we reproduce these... [more] |
NLP2014-22 pp.15-18 |
NLP |
2014-06-30 15:00 |
Miyagi |
Tohoku Univ. |
Qualitative Property of the Simple H-Bridge Inverter with Periodic External Force Saki Shosui, Takayuki Fujii (Oita Univ.), Hiroyuki Asahara (Fukuoka Univ.), Takuji Kousaka (Oita Univ.) NLP2014-23 |
[more] |
NLP2014-23 pp.19-22 |
NLP |
2014-06-30 15:25 |
Miyagi |
Tohoku Univ. |
Stability Analysis Method for Period-1 Orbit in State-Period Dependent Non-linear Hybrid Dynamical System Yutsuki Ogura (Oita Univ.), Hiroyuki Asahara (Fukuoka Univ.), Takuji Kousaka (Oita Univ.) NLP2014-24 |
[more] |
NLP2014-24 pp.23-26 |
NLP |
2014-06-30 16:00 |
Miyagi |
Tohoku Univ. |
Backpropagation learning using inverse function delay-less model Yuta Horiuchi (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Takeshi Onomi, Koji Nakajima (Tohoku Univ.) NLP2014-25 |
The Inverse function Delayed (ID) model has been proposed as one of novel neural models. ID model has a oscillation capa... [more] |
NLP2014-25 pp.27-30 |
NLP |
2014-06-30 16:25 |
Miyagi |
Tohoku Univ. |
Study on the hardware of the Bidirectional Associative Memories by using the Inverse Function Delayless model Chunyu Bao, Takeshi Onomi, Yoshihiro Hayakawa, Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2014-26 |
In conventional macro models such as the Hopfield model, the problems that are caused by the solution of the network not... [more] |
NLP2014-26 pp.31-36 |
NLP |
2014-07-01 10:00 |
Miyagi |
Tohoku Univ. |
Learning Restricted Boltzmann Machine with discrete learning parameter Seitaro Shinagawa (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Takeshi Onomi, Koji Nakajima (Tohoku Univ.) NLP2014-27 |
Recently, the method of Deep Neural Network (DNN) with hierarchical learning has been remarkable for performance to solv... [more] |
NLP2014-27 pp.37-40 |
NLP |
2014-07-01 10:25 |
Miyagi |
Tohoku Univ. |
An effect of inductor's resistor in a simplified buck converter Yusuke Matsuoka (YNCT) NLP2014-28 |
This paper considers a simplified buck converter with inductor's resisitor. Switching of objective system is controlled ... [more] |
NLP2014-28 pp.41-45 |
NLP |
2014-07-01 11:00 |
Miyagi |
Tohoku Univ. |
Solving dynamic optimization problems using an artificial bee colony with a memory scheme Masataka Kojima, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2014-29 |
Dynamic Optimization Problems (DOPs) are the problems of optimizing the function values of the time varying objective fu... [more] |
NLP2014-29 pp.47-52 |
NLP |
2014-07-01 11:25 |
Miyagi |
Tohoku Univ. |
Implementation of Parallel Processing of Chaos Hybrid Optimization for Quadratic Assignment Problem Keisuke Kanamaru, Hiroyuki Yasuda, Mikio Hasegawa (TUS) NLP2014-30 |
Effectiveness of chaotic dynamics for combinatorial optimization has been shown by many previous researches. In this pap... [more] |
NLP2014-30 pp.53-58 |