研究概要
未来のコンピュータに関連した研究を遂行するために、ナチュラルコンピューティングとしての計算知能や情報数理の分野を中心に、群知能、進化的計算、ネットワーク科学、量子コンピュータ科学、DNAコンピューティング、ニューラルネットワーク、ファジィシステム等に携わっていきたいと思っています。
論文・著書
| 論文等のタイトル | 論文等の名称及び発表年 |
|---|---|
|
Centralized and Distributed Clustering Methods
for Energy Efficient Wireless Sensor Networks
| Proc. International MultiConference of Engineers and Computer Scientists, vol.I, p.423, 2009. |
|
Properties of Creation and Reduction According to the Equinumber Principle
for Adaptive Vector Quantization
| International Journal of Automation and Control, vol.2, p.232, 2008. |
|
Hardware Implementation of Multiple Vector Quantization Decoder
| International Journal of Computer Science and Network Security, vol.8, p.54, 2008. |
|
Reconstruction Algorithms with Images Inferred by Self-Organizing Maps
|
Advanced Intelligent Computing Methodologies and Applications,
ICIC 2008,
Lecture Note in Computer Science, vol.5226, p.1285, Springer-Verlag Berlin Heidelberg, ISBN 978-3-540-87440-9, 2008. |
|
Some Properties of Quantum Data Search Algorithms
| Proc. Int. Tech. Conf. Circuits/Systems, Computers and Communications, p.1169, 2008. |
|
Learning Model in Relaxation Algorithm Influenced by Self-Organizing Maps
for Image Restoration
| IEEJ Trans. Electrical and Electronic Engineering, vol.3, p.404, 2008. |
|
Reduction Models in Competitive Learning Founded on Distortion
Standards
| Journal of Advanced Computational Intelligence and Intelligent Informatics, vol.12, p.314, 2008. |
|
Models of Multiple Inference in Statistical Fluctuation for Image
Restoration
| IEEE Proc. Int. Symp. Communications, Control and Signal Processing, p.550, 2008. |
|
Learning Algorithms with Boosting for Vector Quantization
| IEEE Proc. Int. Symp. Communications, Control and Signal Processing, p.352, 2008. |
|
Effective Multiple Vector Quantization for Image Compression
| Journal of Advanced Computational Intelligence and Intelligent Informatics, vol.11, p.1189, 2007. |
|
Multiple Vector Quantization Based on the Error Distribution
in Image Compression
| Proc. Int. Conf. Intelligent Technologies, p.324, 2007. |
|
Characteristics of Adaptive Vector Quantization
According to the Equinumber Principle
| Proc. Int. Conf. Intelligent Technologies, p.21, 2007. |
|
A Learning Algorithm of Self-Organizing Maps for Image Restoration
| Proc. Int. Tech. Conf. Circuits/Systems, Computers and Communications, vol.3, p.1103, 2007. |
|
Parallel Learning Model and Topological Measurement
for Self-Organizing Maps
| Journal of Advanced Computational Intelligence and Intelligent Informatics, vol.11, p.327, 2007. |
|
Qubit Neuron According to Quantum Circuit for XOR Problem
| Applied Mathematics and Computation, vol.181, p.1015, 2007. |
|
Construction of Competitive Learning by Reduction with Distortion
Standards
| Proc. Int. Conf. Intelligent Technologies, p.45, 2006. |
|
Properties of External Field in Statistical Fluctuation
for Image Restoration
|
Research in Interactive Design,
vol.2,
Springer-Verlag Paris, ISBN 2-287-48363-2, 2006. |
|
Qubit Neural Network According to Quantum Circuit for Logical Operation
|
Research in Interactive Design,
vol.2,
Springer-Verlag Paris, ISBN 2-287-48363-2, 2006. |
|
Learning Algorithm for Multiple Vector Quantization
Based Image Compression
| IEICE Proc. Int. Symp. Nonlinear Theory and its Applications, p.835. 2006. |
|
Compression Rate Improvement of Multiple Vector Quantization Based
Image Compression
| Proc. Int. Conf. Intelligent Technologies, p.228. 2005. |
|
A Model of Parallel Learning in Self-Organizing Maps
and Topological Measurement
| Proc. Int. Conf. Intelligent Technologies, p.133, 2005. |
|
Adaptive Vector Quantization with Creation and Reduction
Grounded in the Equinumber Principle
| Journal of Advanced Computational Intelligence and Intelligent Informatics, vol.9, p.599, 2005. |
|
Competitive Learning with Fast Neuron-Insertion
| Journal of Advanced Computational Intelligence and Intelligent Informatics, vol.9, p.590, 2005. |
|
Characteristics of Equinumber Principle for
Adaptive Vector Quantization
|
Advances in Natural Computation,
ICNC 2005,
Lecture Note in Computer Science, vol.3611, p.415, Springer-Verlag Berlin Heidelberg, ISBN 3-540-28325-0, 2005. |
|
A Multiple Vector Quantization Approach to Image Compression
|
Advances in Natural Computation,
ICNC 2005,
Lecture Note in Computer Science, vol.3611, p.361, Springer-Verlag Berlin Heidelberg, ISBN 3-540-28325-0, 2005. |
|
A Learning Model in Qubit Neuron According to Quantum Circuit
|
Advances in Natural Computation,
ICNC 2005,
Lecture Note in Computer Science, vol.3610, p.283, Springer-Verlag Berlin Heidelberg, ISBN 3-540-28323-4, 2005. |
|
Qubit Neural Network by Quantum Circuit for XOR Problem
| Proc. Int. Conf. Intelligent Computing, p.1782, 2005. |
|
Competitive Learning with Fast Neuron Insertion
| Proc. Int. Symp. Computational Intelligence and Industrial Applications, no.WM1B-2, 2004. |
|
Creation and Reduction Methods of Adaptive Vector Quantization
According to Equinumber of Inputs
| Proc. Int. Symp. Computational Intelligence and Industrial Applications, no.TA3A-1, 2004. |
|
State Transition of Cellular Automata
and Application to Image Processing
| Proc. Int. Symp. Computational Intelligence and Industrial Applications, no.TA1A-2, 2004. |
|
Numerical Evaluation of Incremental Vector Quantization
Using Stochastic Relaxation
| IEICE Trans. Fundamentals, vol.E87-A, p.2364, 2004. |
|
State Sharing Methods in Statistical Fluctuation for Image Restoration
| IEICE Trans. Fundamentals, vol.E87-A, p.2347, 2004. |
|
Creation Method of Fuzzy Modeling with Variation Degree
| WSEAS Trans. Systems, vol.3, p.640, 2004. |
|
Parallel Manner and Twist Measurement for Self-Organizing Maps
| WSEAS Trans. Systems, vol.3, p.543, 2004. |
|
Adaptation Neighborhoods of Self-Organizing Maps for Image Restoration
| WSEAS Trans. Computers, vol.3, p.323, 2004. |
|
Extension Methods of External Field
in Statistical Fluctuation for Image Restoration
| IEEE Proc. Int. Symp. Intelligent Signal Processing and Communication Systems, p.278, 2003. |
|
A Hybrid Learning Approach to Self-Organizing Neural Network for Vector
Quantization
| IEICE Trans. Fundamentals, vol.E86-A, p.2280, 2003. |
|
Hybrid Learning Methods for Vector Quantization and Its Application to
Image Compression
| IEEE Proc. Int. Symp. Signal Processing and Its Applications, p.243, 2003. |
|
Rule Creation of Fuzzy System by Reasoning Variations
| Proc. International Fuzzy Systems Association World Congress, p.408, 2003. |
|
A Relaxation Algorithm Influenced by Self-Organizing Maps
|
Artificial Neural Networks
and Neural Information Processing,
ICANN/ICONIP 2003,
Lecture Note in Computer Science, vol.2714, p.546, Springer-Verlag Berlin Heidelberg, ISBN 3-540-40408-2, 2003. |
|
Associative Memory Using Refractory Period of Neurons
for Correlated Patterns
| Proc. Int. Conf. Artificial Neural Networks and Neural Information Processing, p.98, 2003. |
|
Construction Method of Fuzzy Inference by Rule Creation
| IEICE Trans. Fundamentals, vol.E86-A, p.1509, 2003. |
|
部分空間の等入力に基づく生成的競合学習
| 電気学会論文誌 C, vol.123, p.560, 2003. |
|
Self-Organizing Neural Network for Vector Quantization
and Its Application to Image Compression
| IEICE Proc. Int. Symp. Nonlinear Theory and its Applications, p.865, 2002. |
|
Adaptation Strength According to Neighborhood Ranking
of Self-Organizing Neural Networks
| IEICE Trans. Fundamentals, vol.E85-A, p.2078, 2002. |
|
Constructive Methods of Fuzzy Rules for Function Approximation
| Proc. Int. Tech. Conf. Circuits/Systems, Computers and Communications, vol.3, p.1626, 2002. |
|
Adaptive Vector Quantization with Deletion Method
Based on Equinumber of Inputs in Partition Space
|
Recent Advances in Computers, Computing and Communications,
WSEAS Press, ISBN 960-8052-62-9, p.253, 2002. |
|
ベクトル量子化のための自己組織化ニューラルガスネットワーク
| 日本ファジィ学会誌, vol.14, p.88, 2002. |
|
An Algorithm of Statistical Mechanics for Image Restoration
| IEICE Proc. Int. Symp. Nonlinear Theory and its Applications, vol.1, p.107, 2001. |
|
Competitive Learning with Creation Method
on the Basis of Inputs in Partition Space
|
Advances in Automation, Multimedia and Video Systems,
and Modern Computer Science,
WSES Press, ISBN 960-8052-44-0, p.13, 2001. |
|
Creation Method of Competitive Learning
with Inputs in Partition Space
| IASTED Proc. Int. Conf. Artificial Intelligence and Applications, p.20, 2001. |
|
Properties of Deletion Methods in Competitive Learning
| IEEE Proc. Int. Symp. Circuits and Systems, vol.III, p.707, 2001. |
|
Fuzzy Modeling in Some Reduction Methods of Inference Rules
| IEICE Trans. Fundamentals, vol.E84-A, p.820, 2001. |
|
Competitive Learning Algorithms Founded on Adaptivity and Sensitivity
Deletion Methods
| IEICE Trans. Fundamentals, vol.E83-A, p.2770, 2000. |
|
Neighborhood Ranking of Self-Organizing Neural
Networks for Information Compression
| Proc. Int. Conf. Neural Information Processing, vol.2, p.975, 2000. |
|
ファジー推論ルールの削減法に関する考察
| 電子情報通信学会論文誌 (A), vol.J83-A, p.131, 2000. |
|
Adaptivity and Sensitivity Deletion Methods
in Competitive Learning Algorithm
| IEICE Proc. Int. Symp. Nonlinear Theory and its Applications, vol.2, p.859, 1999. |
|
Competitive Learning Methods with Refractory and Creative
Approaches
| IEICE Trans. Fundamentals, vol.E82-A, p.1825, 1999. |
|
Reduction Methods of Fuzzy Inference Rules with Neural Network
Learning Algorithm
| IEEE Proc. Int. Conf. Systems, Man, and Cybernetics, vol.V, p.262, 1999. |
|
Construction of Self-Organizing Algorithms for Vector
Quantization
| EEJ Scripta Technica, John Wiley & Sons, vol.127, p.47, 1999. |
