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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2022-12-23
09:20
Kyoto Kyoto University
(Primary: On-site, Secondary: Online)
Embedding stochastic differential equations into neural networks using duality
Naoki Sugishita, Jun Ohkubo (Saitama Univ.) IBISML2022-51
Neural network training requires a large amount of data. However, sometimes we have information on the underlying equati... [more] IBISML2022-51
pp.54-61
R 2020-10-16
13:00
Online Online Flexible Jump Diffusion Process Model for Large Scale OSS Effort Control Considering External Factors from Big Data
Tokubo Shun, Tamura Yosinobu (Tokyo City Univ), Ymada Sigeru (Tottori Univ) R2020-19
As the current status of software services, most of open source software (OSS) is widely used by many companies. Then, i... [more] R2020-19
pp.1-6
NC, MBE
(Joint)
2020-03-06
13:25
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
A finite state markov-chain approximation of the intermittent control model during human quiet standing using a finite element analysis of its Fokker-Planck equation
Keigo Togame, Akihiro Nakamura, Yasuyuki Suzuki, Taishin Nomura (Osaka Univ.) MBE2019-96
The intermittent control during human quiet standing is a hypothetical neural control strategy that we have proposed in ... [more] MBE2019-96
p.83
MBE 2019-07-20
13:00
Tokushima   Analysis of a simple stochastic hybrid dynamical system using its Fokker-Planck equation
Keigo Togame, Akihiro Nakamura, Yasuyuki Suzuki, Taishin Nomura (Osaka Univ.) MBE2019-22
The intermittent control in human quiet standing is a hypothetical model that we proposed recently, in which a conventio... [more] MBE2019-22
pp.19-24
NLP 2016-07-21
13:55
Hokkaido Hokkaido Univ. Centennial Hall Control of stochastic diffusion by time delayed feedback
Hiroyasu Ando (Univ. of Tsukuba), Miki U. Kobayashi (Rissho Univ.) NLP2016-34
Time-delayed feedback method is known as control method for chaotic dynamics. We apply the feed- back method to a stocha... [more] NLP2016-34
pp.7-8
NLP 2014-11-06
15:00
Niigata TsubameSanjo Regional Industries Promotion Center Path-wise definition of integral input-to-state stability and Lyapunov functions
Hiroshi Ito (Kyushu Inst. of Tech.), Yuki Nishimura (Kagoshima Univ.) NLP2014-84
For stochastic nonlinear dynamical systems, path-wise probability is employed to define integral input-to-state stabilit... [more] NLP2014-84
pp.17-22
NC, NLP 2009-07-13
13:30
Nara NAIST Trade-off between cell-to-cell synchtonization and trial-to-trial reliability in recurrent networks of spiking neurons -- Noise-induced synchoronization between nonlinear systems --
Jun-nosuke Teramae, Tomoki Fukai (RIKEN) NLP2009-19 NC2009-12
We study response reliability of spike firing in a coupled network of neurons receiving fluctuating inputs. We can study... [more] NLP2009-19 NC2009-12
pp.31-32
R 2007-07-13
15:20
Hokkaido Kitami Institute of Technology Stochastic Differential Equation Modeling Considering Fault Importance Levels for Open Source Software
Yoshinobu Tamura (HIT), Shigeru Yamada (Tottori Univ.) R2007-27
Network technologies become increasingly more complex in a wide sphere. In accordance with such a penetration of the Int... [more] R2007-27
pp.45-50
R 2007-05-18
15:35
Hiroshima Hiroshima University Comparison of Stochastic Differential Equation Models for Open Source Software
Yoshinobu Tamura (HIT), Shigeru Yamada (Tottori Univ.) R2007-11
Network technologies have made rapid progress with the dissemination of computer systems in all areas. These network tec... [more] R2007-11
pp.19-24
NLP 2006-01-25
15:20
Tokushima Shikoku Univ. Feedback Control of Three Level Quantum Sustem
Kazuya Sakamoto, Naoki Matsumoto (Meiji Univ.)
In this paper, we propose the design method of feedback control law for the three level quantum systems based on the sto... [more] NLP2005-134
pp.53-58
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