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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP | 2015-07-22 11:00 |
Hokkaido | Bibai Onsen Yu-rinkan | Optimization of Generalization Based on Genetic Algorithm
-- Application for Function Analysis and Pattern Recognition -- Hideki Satoh (Future Univ. Hakodate), Daisuke Kasai (Tokachi Foundation), Masako Satoh (Insent)  NLP2015-78 |
A function approximation method was developed taking generalization into account, and it was applied to a pattern recogn... [more] | NLP2015-78 pp.57-62 |
| NLP | 2013-10-28 13:45 |
Kagawa | Sanport Hall Takamatsu | Nonlinear Sparse Optimization with Based on Genetic Algorithm
-- Optimization for Food Ingredients and their Quantities -- Hideki Satoh (Future Univ. Hakodate), Masako Satoh (Intelligent Sensor Technology) NLP2013-78 |
Approximate sparse solutions for a high-dimensional nonlinear optimization problem were derived using a genetic algorith... [more] | NLP2013-78 pp.47-52 |
| PRMU | 2013-02-22 15:00 |
Osaka | Basis Function Construction for Nonlinear Time Series Prediction Shota Tsukada, Hideki Satoh (Future Univ Hakodate) PRMU2012-173 |
[more] | PRMU2012-173 pp.203-208 |
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| NC, NLP | 2011-01-25 14:35 |
Hokkaido | Hokakido Univ. | Waveform Recognition under Noise Environment Based on Reward Weighted Principal Component Analysis Takeshi Nagashima, Hideki Satoh (Future Univ. Hakodate) NLP2010-150 NC2010-114 |
We developed a linear filer that eliminates disturbance noise and redundant information using reward weighted principal ... [more] | NLP2010-150 NC2010-114 pp.147-151 |
| NC, NLP | 2011-01-26 12:10 |
Hokkaido | Hokakido Univ. | Structure Analysis Using Eigen Analysis of Moment Vector Equation for Globally Coupled Map Hideki Satoh (Future Univ. Hakodate) NLP2010-162 NC2010-126 |
A macroscopic structure was analyzed for a system, such as a globally coupled map or a coupled nonlinear oscillator, com... [more] | NLP2010-162 NC2010-126 pp.211-216 |
| NLP | 2010-07-12 11:55 |
Ishikawa | Ishikawa Prefectural Bunkyo Hall | Analysis Using Space Embedded Equation in Moment Vector Space for High-dimensional Nonlinear System Hideki Satoh (Future Univ. Hakodate) NLP2010-33 |
A space embedded equation (SEE) has been developed for expressing an arbitrary high-dimensional target system as a low-d... [more] | NLP2010-33 pp.23-28 |
| NLP | 2009-12-21 13:00 |
Iwate | Schrodinger-type Equation for Nonlinear Optimization and its Application to Global Optimization Hideki Satoh (Future Univ. Hakodate) NLP2009-130 |
A method has been developed for deriving the approximate global optimum of a nonlinear objective function. First, the o... [more] |
NLP2009-130 pp.21-26 |
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| NLP | 2009-12-21 14:25 |
Iwate | High-dimensional Nonlinear Time Series Prediction with Reinforcement Learning Baku Takaiwa, Hideki Satoh (Future Univ. Hakodate) NLP2009-133 |
We extracted principal elements from several nonlinear time series and reduced the prediction error of the time series u... [more] | NLP2009-133 pp.37-42 |
|
| NLP | 2009-11-14 10:45 |
Kagoshima | Analysis Based on Moment Vector Equation for a Many-body System with Linear Interactions Hideki Satoh (Future Univ. Hakodate) NLP2009-117 |
A method was developed for analyzing a system comprised of identical and indistinguishable elements with nonlinear dynam... [more] | NLP2009-117 pp.197-202 |
|
| NLP | 2008-11-06 14:15 |
Aichi | Reinforcement Learning for High-dimensional Action Space
-- Action Space Compression Based on Principal Component Analysis -- Hideki Satoh (Future Univ.-Hakodate) NLP2008-64 |
Adaptive basis construction, state space compression, and action space compression are used to extend reinforcement lear... [more] | NLP2008-64 pp.37-42 |
|
| NC, NLP | 2008-06-27 10:30 |
Okinawa | University of the Ryukyus | Approximate Global Optimization Based on Wave Coefficient Equation for Wave Function Hideki Satoh (Future Univ.-Hakodate) NLP2008-8 |
A method was developed for deriving the approximate global optimum of a nonlinear objective function with multiple local... [more] | NLP2008-8 pp.1-6 |
| NLP | 2006-12-14 11:20 |
Hokkaido | A Non-linear Approach to Robust Routing Based on Reinforcement Learning Hideki Satoh (Future Univ. Hakodate) |
[more] | NLP2006-106 pp.21-26 |
|
| NLP | 2006-07-04 13:35 |
Ishikawa | Kanazawa Univ. | Feature Space Construction and Function Approximation for Reinforcement Learning Hideki Satoh (Future Univ.-Hakodate) |
A feature space construction method for function approximation was developed and applied to reinforcement learning for m... [more] | NLP2006-41 pp.43-48 |
| NLP | 2006-01-24 10:40 |
Tokushima | Shikoku Univ. | Reinforcement Learning in High-dimensional Continuous State Spaces
-- A State Space Compression Method Based on Multivariate Analysis -- Hideki Satoh (Future Univ.-Hakodate) |
A state space compression method based on multivariate analysis was developed and applied to reinforcement learning for ... [more] | NLP2005-99 pp.7-12 |
| NLP | 2005-07-25 15:50 |
Hokkaido | Future Univ.-Hakodate | Reinforcement Learning for Continuous Stochastic Actions
-- An Approximation of Probability Density Function by an Orthogonal Expansion -- Hideki Satoh (Future Univ.-Hakodate) |
A function approximation based on an orthonormal wave function expansion in a complex space is derived. Although a pro... [more] |
NLP2005-35 pp.39-44 |
| NLP | 2005-05-17 13:00 |
Yamagata | Yamagata Univ (Yonezawa) | Approximation and Analysis of Non-linear Equations Based on Moment Vector Equations Hideki Satoh (Future Univ. Hakodate) |
Moment vector equations (MVEs) are presented in this report to approximate and analyze multi-dimensional non-linear disc... [more] | NLP2005-1 pp.1-6 |
| NLP | 2004-06-17 15:50 |
Tottori | Tottori Kenritsu Shogai Gakushu Center | A Statistical Analysis of Logistic Map in a Linear Vector Space Hideki Satoh (FUN) |
[more] | NLP2004-20 pp.35-40 |
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