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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2023-03-17 15:25 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Chaotic Response of Hardware Small World Neural Network with STDP Takuto Yamaguchi, Katsutoshi Saeki, Yoshiki Sasaki (Nihon Univ.)  MSS2022-106 NLP2022-151 |
The role of chaotic activity in the brain function is still unclarified. However, it is possible to estimate the role by... [more] | MSS2022-106 NLP2022-151 pp.210-213 |
| ICTSSL, CAS | 2023-01-27 09:25 |
Tokyo | TBD (Primary: On-site, Secondary: Online) |
On approximating chaotic behavior of a Colpitts circuit using residual nets and LSTM Kazuya Ozawa, Hideaki Okazaki (Shonan Inst. Tech) CAS2022-76 ICTSSL2022-40 |
LSTM (Long-Short Term Memory) is a neural network suitable for processing time series data. In this report, we apply LST... [more] | CAS2022-76 ICTSSL2022-40 pp.77-82 |
| MBE, NC (Joint) |
2021-10-28 15:55 |
Online | Online | A Study on Improvement Learning Performance with Chaos Neurons Renshi Nagasawa, Masahiro Nakagawa (NUT) NC2021-23 |
In the backpropagation method in neural networks, the problem is that the energy converges to the local minimum. On the... [more] | NC2021-23 pp.28-33 |
| NC, MBE (Joint) |
2021-03-05 13:00 |
Online | Online | The Relation between Sensitivity and Maximum Lyapunov Exponent when Sensitivity Adjustment Learning is Applied to Layered Recurrent Neural Networks Takuya Ejima, Yuuki Tokumaru, Kastunari Shibata (Oita Univ.) NC2020-69 |
We have proposed a local learning method named "sensitivity adjustment learning (SAL)". The sensitivity, which is adjust... [more] | NC2020-69 pp.151-156 |
| NLP, NC (Joint) |
2019-01-23 13:50 |
Hokkaido | The Centennial Hall, Hokkaido Univ. | A Solving Method using The Chaos Search for The Vehicle Routing Problems with Soft Time Window Constraints Daiki Watanabe, Takayuki Kimura (NIT) NLP2018-105 |
Because of rapid increase of delivery goods and truck driver shortage, efficient delivery routes that minimize vehicle u... [more] | NLP2018-105 pp.51-56 |
| NLP | 2017-05-11 14:05 |
Okayama | Okayama University of Science | Learning of Neural Network with Coupled Chaotic Map Shu Sato, Chihiro Ikuta, Yuichi Nakamura (NIT, Anan College), Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2017-9 |
In recent years, research on neural networks has been actively conducted. Neural network refers to the human brain netwo... [more] | NLP2017-9 pp.43-46 |
| NLP | 2014-07-21 14:55 |
Hokkaido | Hakodate City Central Library | Solving Ability of Lin-Kernighan Method Driven by Chaotic Dynamics for Traveling Salesman Problems Takahiro Mitsuoka, Mikio Hasegawa (Tokyo Univ. of Science) NLP2014-35 |
Effectiveness of chaos for optimization has been shown by many previous researches. In this paper, a chaotic search base... [more] | NLP2014-35 pp.23-26 |
| 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 |
| NLP | 2012-04-19 13:50 |
Mie | Ise City Plaza | An Improved Exponential Chaotic Tabu Search in Quadratic Assignment Problems for Parallel Hardware Implementation Akihito Toyoda, Yoshihiko Horio (Tokyo Denki Univ.), Kazuyuki Aihara (Univ. of Tokyo) NLP2012-3 |
To solve quadratic assignment problems (QAPs), a chaotic tabu search, in which a tabu search is driven by chaotic neuro-... [more] | NLP2012-3 pp.13-18 |
| NLP | 2012-03-27 15:40 |
Nagasaki | Fukue Cultural Hall | An Analysis on Ideal Searching Dynamics Realized by Lebesgue Spectrum Filter Using Associative Memory Neural Networks Kenji Fushiki, Tomohiro Kato, Mikio Hasegawa (Tokyo Univ. of Science), Kazuyuki Aihara (Univ. of Tokyo) NLP2011-147 |
Effectiveness of using chaos dynamics is shown by the search solution of the combination optimization problem. In the in... [more] | NLP2011-147 pp.35-38 |
| NLP | 2010-12-13 13:25 |
Tottori | Yonago Convention Center | A Global Optimization Method on DT-CNN Using Chaotic Noise by CA Tomohiro Fujita, Takeshi Ogura (Ritsumeikan Univ.) NLP2010-118 |
A global optimization with Discrete Time Cellular Neural Network (DT-CNN) is studied. To achieve a global optimization,... [more] | NLP2010-118 pp.37-41 |
| NLP | 2009-12-21 10:20 |
Iwate | Study on Novel Chaos Generation Methods Yuto Mizuno (Iwate Univ.), Satoshi Kawamura (Isinomaki Senshu Univ.), Takeshi Murakami, Hitoaki Yoshida (Iwate Univ.) NLP2009-126 |
We have developed chaos neural networks (CNN) and applied to a cryptosystem. The time series of CNN outputs divides into... [more] | NLP2009-126 pp.1-6 |
|
| NLP | 2009-12-21 15:15 |
Iwate | Annealing Method for Cellular Neural Networks Takefumi Konishi (Sophia Univ.), Hisashi Aomori (Tokyo Univ. of Sience), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM), Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Sience), Mamoru Tanaka (Sophia Univ.) NLP2009-135 |
In this paper, a novel lossless image coding method based on the lifting wavelet transform using discrete-time cellular ... [more] | NLP2009-135 pp.49-52 |
|
| NLP | 2009-11-11 15:10 |
Kagoshima | Evaluation of Neuron Selection Techniques for Synchronous Exponential Chaotic Tabu Search for Quadratic Assignment Problems Tetsuo Kawamura, Yoshihiko Horio (Tokyo Denki Univ.) NLP2009-94 |
The tabu search was implemented on a neural network with chaotic neuro-dynamics. This chaotic tabu search shows great pe... [more] | NLP2009-94 pp.67-71 |
|
| NLP | 2009-11-13 10:15 |
Kagoshima | A Novel Chaos Associative Memory with Tchebycheff Activation Function Masahiro Nakagawa (Nagaoka Univ. of Tech.) NLP2009-101 |
In this presentation we shall put forward a novel chaos neuron model and investigate the dynamic properties. The present... [more] | NLP2009-101 pp.109-114 |
|
| NC, NLP | 2009-07-13 13:00 |
Nara | NAIST | Learning to imitate stochastic time series in a compositional way by chaos Jun Namikawa, Jun Tani (RIKEN) NLP2009-18 NC2009-11 |
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination ... [more] | NLP2009-18 NC2009-11 pp.25-30 |
| NLP | 2009-05-15 17:35 |
Shiga | Ritsumeikan University | Solving Asymmetric TSP by Combination of Chaotic Neurodynamics and Block Shift operations Toshihiro Tachibana, Masaharu Adachi (Tokyo Denki Univ.) NLP2009-13 |
In this paper, a method for solving Asymmetric Traveling Salesman Problems is proposed. Where the asymmetric TSP means t... [more] | NLP2009-13 pp.63-66 |
| CAS, NLP | 2009-01-22 13:00 |
Miyazaki | On the Memory Capacity and Invariant Measure of Chaos Associative Model Masahiro Nakagawa (Nagaoka Univ. of Tech.) CAS2008-71 NLP2008-101 |
In this paper, the memory capacity of the autoassociative model is investigated on the basis of the statistical neuronic... [more] | CAS2008-71 NLP2008-101 pp.41-46 |
|
| CAS, NLP | 2009-01-22 13:40 |
Miyazaki | Noise-Induced Properties in Chaos Neuron Systems Haruhiko Nishimura, Hironori Fujisawa, Naofumi Katada (Univ. of Hyogo), Kazuyuki Aihara (Univ. of Tokyo) CAS2008-73 NLP2008-103 |
In nonlinear dynamical systems, noise can lead to qualitative changes in their behaviors, not quantitative changes. We s... [more] | CAS2008-73 NLP2008-103 pp.53-58 |
|
| NC | 2008-11-08 14:40 |
Saga | Saga Univ. | The Waveform Conduction Characteristic of NN Using Pulse-Type Hardware Chaos Neuron Model Ken Saito, Yoshifumi Sekine (Nihon Univ.) NC2008-70 |
Various coding hypothesis are reported by using the mathematical pulse-type neuron model. However, the information proce... [more] | NC2008-70 pp.67-72 |
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