-
Set-Based Comprehensive Learning and Particle Swarm Optimization with Memory for Discrete Optimization Problem
Reviewed
Y. Chikuba, T. Hino, and M. Maeda
NOLTA, IEICE
13
(
2
)
452--458
2022.4
-
Differential Evolution with Perturbation for Continuous Function Optimization
Reviewed
T. Muto and M. Maeda
NOLTA, IEICE
13
(
2
)
.239--245
2022.4
-
An Algorithm of Differential Evolution with Perturbation for Optimization Problem
T. Muto and M. Maeda
Proc. Nonlinear Science Workshop
30
2021.12
-
An Algorithm of Set-Based Particle Swarm Optimization with Memory for Optimization Problem
Y. Chikuba, T. Hino, and M. Maeda
Proc. Nonlinear Science Workshop
31
2021.12
-
Grey Wolf Optimization with Momentum for Function Optimization
Reviewed
T. Muto and M. Maeda
Artificial Life and Robotics
26
(
3
)
304--311
2021.5
-
An Algorithm of Particle Swarm Optimization with Subsidiary Power
T. Muto and M. Maeda
Proc. Int. Symp. Artificial Life and Robotics
246--249
2021.1
-
An Algorithm of Grey Wolf Optimization with Momentum Term
T. Muto and M. Maeda
Proc. Int. Symp. Artificial Life and Robotics
540--543
2020.1
-
A Novel Approach of Set-Based Particle Swarm Optimization with Memory State
M. Maeda and T. Hino
Lecture Note in Artificial Intelligence
10607
437--449
2017.11
-
Set-Based Particle Swarm Optimization with Status Memory for Knapsack Problem
Reviewed
T. Hino, S. Ito, T. Liu, and M. Maeda
Artificial Life and Robotics
21
(
1
)
98--105
2016.3
-
A Cuckoo Search Algorithm with Correction Term for Optimization Problem
Reviewed
S. Ito and M. Maeda
ICIC Express Letters
9
(
4
)
1011--1016
2015.4
-
An Algorithm of Cuckoo Search with Correction Term for Accuracy Improvement
S. Ito, T. Hino, T. Liu, and M. Maeda
Proc. Int. Symp. Artificial Life and Robotics
494--497
2015.1
-
Reduction of Artificial Bee Colony Algorithm for Global Optimization
Reviewed
M. Maeda and S. Tsuda
Neurocomputing
148
70--74
2015.1
-
An Approach to Set-Based Particle Swarm Optimization with Status Memory for Knapsack Problem
T. Hino, S. Ito, T. Liu, and M. Maeda
Proc. Int. Symp. Artificial Life and Robotics
212--215
2015.1
-
An Algorithm of Set-Based Differential Evolution for Traveling Salesman Problem
T. Liu and M. Maeda
Proc. Joint Int. Conf. Soft Computing and Intelligent Systems and Int. Symp. Advanced Intelligent Systems
81--86
2014.12
-
Set-Based Differential Evolution for Traveling Salesman Problem
T. Liu and M. Maeda
Proc. Int. Conf. Intelligent Networks and Intelligent Systems
107--110
2013.11
-
A Modified Hybrid Algorithm of Set-Based Particle Swarm Optimization for Traveling Salesman Problem
Reviewed
T. Liu and M. Maeda
Journal of Signal Processing
17
(
6
)
293--297
2013.11
-
Improvement of Set-Based Particle Swarm Optimization for Traveling Salesman Problem
T. Liu and M. Maeda
Proc. RISP Int. Work. Nonlinear Circuits, Communication and Signal Processing
293--296
2013.3
-
Restoration Model with Inference Capability of Self-Organizing Maps
M. Maeda
Advances in Self-Organizing Maps
AISC198
153--162
2012.12
-
Pixel Restoration for Still Frame Using Statistical Measurements with Optical Flow
Reviewed
M. Maeda and M. Makishima
Journal of Signal Processing
16
(
6
)
601--609
2012.11
-
Extension Models of External Field in Magnetism by Statistical Fluctuation for Image Restoration
Reviewed
M. Maeda
ICIC Express Letters
6
(
3
)
741--746
2012.3
-
Topological Mapping Grounded in Particle Swarm Optimization with Evolutionary Computation
Reviewed
T. Ida and M. Maeda
ICIC Express Letters
6
(
3
)
729--734
2012.3
-
Properties of Small-World Networks with Vertex Reduction
K. Uchida and M. Maeda
Proc. RISP Int. Work. Nonlinear Circuits, Communication and Signal Processing
740--743
2012.3
-
Statistical Measurements of Plane Optical Flow for Image Restoration
M. Makishima and M. Maeda
Proc. RISP Int. Work. Nonlinear Circuits, Communication and Signal Processing
121--124
2012.3
-
DNA Sequencing by Max-Min Ant System and Genetic Algorithm
T. Liu and M. Maeda
Proc. Int. Symp. Artificial Life and Robotics
820--823
2012.1
-
Solution Search Algorithm of Particle Swarm Optimization with Perturbation Term
Reviewed
S. Tsuda, T. Liu, and M. Maeda
ICIC Express Letters
5
(
5
)
1515--1521
2011.5
-
Bagging and AdaBoost Algorithms for Vecter Quantization
Reviewed
N. Shigei, H. Miyajima, H. Maeda, and L. Ma
Neurocomputing
73
(
1--3
)
106--114
2009.12
-
Learning Algorithms with Neighboring Imputs in Self-Organizing Maps for Image Restoration
M. Maeda, N. Shigei, and H. Miyajima
Proc. Int. J. Conf. Computational Intelligence
331--338
2009.10
-
Analysis of Construction Algorithms with Image Inference in Self-Organizing Maps
M. Maeda
Proc. Int. Symp. Advanced Intelligent Systems
89--92
2009.8
-
Centralized and Distributed Clustering Methods for Energy Efficient Wireless Sensor Networks
N. Shigei, H. Miyajima, H. Morishita, and M. Maeda
Proc. Int. MultiConf. Engineers and Computer Scientists,
vol.I
423
-
427
2009.3
-
Properties of Creation and Reduction According to the Equinumber Principle for Adaptive Vector Quantization
Reviewed
M. Maeda, K. Suzaki, N. Shigei, and H. Miyajima
International Journal of Automation and Control
2
(
2/3
)
232
-
246
2008.12
-
Hardware Implementation of Multiple Vector Quantization Decoder
Reviewed
N. Shigei, H. Miyajima, S. Hashiguchi, M. Maeda, and L. Ma
International Journal of Computer Science and Network Security
8
(
11
)
54
-
61
2008.11
-
Reconstruction Algorithms with Images Inferred by Self-Organizing Maps
M. Maeda
Advanced Intelligent Computing Methodologies and Applications
1285
-
1294
2008.9
-
Some Properties of Quantum Data Search Algorithms
K. Arima, H. Miyajima, N. Shigei, and M. Maeda,
Proc. Int. Tech. Conf. Circuits/Systems, Computers and Communications,
1169
-
1172
2008.7
-
Learning Model in Relaxation Algorithm Influenced by Self-Organizing Maps for Image Restoration
Reviewed
M. Maeda, N. Shigei, and H. Miyajima
IEEJ Trans. Electrical and Electronic Engineering
3
(
4
)
404
-
412
2008.7
-
Reduction Models in Competitive Learning Founded on Distortion Standards
Reviewed
M. Maeda, N.Shigei, H. Miyajima, and K. Suzaki,
Journal of Advanced Computational Intelligence and Intelligent Informatics
12
(
3
)
314
-
323
2008.5
-
Learning Algorithms with Boosting for Vector Quantization
H. Miyajima, N. Shigei, M. Maeda, and S. Hosoda
IEEE Proc. Int. Symp. Communications, Control and Signal Processing
352--356
2008.3
-
Models of Multiple Inference in Statistical Fluctuation for Image Restoration
M. Maeda, K. Suzaki, and H. Miyajima
IEEE Proc. Int. Symp. Communications, Control and Signal Processing
550--553
2008.3
-
Characteristics of Adaptive Vector Quantization According to the Equinumber Principle
M. Maeda, N. Shigei, H. Miyajima, and K. Suzaki
Proc. Int. Conf. Intelligent Technologies
21--26
2007.12
-
Effective Multiple Vector Quantization for Image Compression
Reviewed
N. Shigei, H. Miyajima, M. Maeda, and L. Ma
Journal of Advanced Computational Intelligence and Intelligent Informatics
11
(
10
)
1189--1196
2007.12
-
Multiple Vector Quantization Based on the Error Distribution in Image Compression
N. Shigei, H. Miyajima, and M. Maeda
Proc. Int. Conf. Intelligent Technologies
324--331
2007.12
-
A Learning Algorithm of Self-Organizing Maps for Image Restoration
M. Maeda and H. Miyajima
Proc. Int. Tech. Conf. Circuits/Systems, Computers and Communications
vol.3
1103--1104
2007.7
-
Parallel Learning Model and Topological Measurement for Self-Organizing Maps
Reviewed
M. Maeda, H. Miyajima, and N. Shigei
Journal of Advanced Computational Intelligence and Intelligent Informatics
11
(
3
)
327--334
2007.3
-
Qubit Neuron According to Quantum Circuit for XOR Problem
Reviewed
M. Maeda, M. Suenaga, and H. Miyajima
Applied Mathematics and Computation
181
(
2
)
1015--1025
2007.2
-
Construction of Competitive Learning by Reduction with Distortion Standards
M. Maeda, N. Shigei, and H. Miyajima
Proc. Int. Conf. Intelligent Technologies
45--52
2006.12
-
Learning Algorithm for Multiple Vector Quantization Based Image Compression
N. Shigei, H. Miyajima, and M. Maeda
IEICE Proc. Int. Symp. Nonlinear Theory and its Applications
835--838
2006.9
-
A Model of Parallel Learning in Self-Organizing Maps and Topological Measurement
M. Maeda, H. Miyajima, and N. Shigei
Proc. Int. Conf. Intelligent Technologies
133--140
2005.12
-
Compression Rate Improvement of Multiple Vector Quantization Based Image Compression
N. Shigei, H. Miyajima, M. Maeda, and L. Ma
Proc. Int. Conf. Intelligent Technologies
228--233
2005.12
-
Competitive Learning with Fast Neuron-Insertion
Reviewed
N. Shigei, H. Miyajima, and M. Maeda
Journal of Advanced Computational Intelligence and Intelligent Informatics
9
(
6
)
590--598
2005.11
-
Adaptive Vector Quantization with Creation and Reduction Grounded in the Equinumber Principle
Reviewed
M. Maeda, N. Shigei, and H. Miyajima
Journal of Advanced Computational Intelligence and Intelligent Informatics
9
(
6
)
599--606
2005.11
-
Qubit Neural Network by Quantum Circuit for XOR Problem
M. Maeda, M. Suenaga, and H. Miyajima
Proc. Int. Conf. Intelligent Computing
1782--1791
2005.8
-
State Transition of Cellular Automata and Application to Image Processing
M. Maeda, H. Tomatsu, and H. Miyajima
Proc. Int. Symp. Computational Intelligence and Industrial Applications
(
no.TA1A-2
)
2004.12
-
Competitive Learning with Fast Neuron Insertion
N. Shigei, H. Miyajima, and M. Maeda
Proc. Int. Symp. Computational Intelligence and Industrial Applications
(
no.WM1B-2
)
2004.12
-
Creation and Reduction Methods of Adaptive Vector Quantization According to Equinumber of Inputs
M. Maeda, N. Shigei, and H. Miyajima
Proc. Int. Symp. Computational Intelligence and Industrial Applications
(
no.TA3A-1
)
2004.12
-
State Sharing Methods in Statistical Fluctuation for Image Restoration
Reviewed
M. Maeda and H. Miyajima
IEICE Trans. Fundamentals
E87-A
(
9
)
2347--2354
2004.9
-
Numerical Evaluation of Incremental Vector Quantization Using Stochastic Relaxation
Reviewed
N. Shigei, H. Miyajima, and M. Maeda
IEICE Trans. Fundamentals
E87-A
(
9
)
2364--2371
2004.9
-
Extension Methods of External Field in Statistical Fluctuation for Image Restoration
M. Maeda and H. Miyajima
IEEE Proc. Int. Symp. Intelligent Signal Processing and Communication Systems
278--281
2003.12
-
A Hybrid Learning Approach to Self-Organizing Neural Network for Vector Quantization
Reviewed
S. Fukumoto, N. Shigei, M. Maeda, and H. Miyajima
IEICE Trans. Fundamentals
E86-A
(
9
)
2280--2286
2003.9
-
Hybrid Learning Methods for Vector Quantization and Its Application to Image Compression
N. Shigei, H. Miyajima, M. Maeda, and S. Fukumoto
IEEE Proc. Int. Symp. Signal Processing and Its Applications
243--246
2003.7
-
Associative Memory Using Refractory Period of Neurons for Correlated Patterns
M. Oda, M. Maeda, and H. Miyajima
Proc. Int. Conf. Artificial Neural Networks and Neural Information Processing
98--101
2003.6
-
Construction Method of Fuzzy Inference by Rule Creation
Reviewed
M. Maeda and H. Miyajima
IEICE Trans. Fundamentals
E86-A
(
6
)
1509--1512
2003.6
-
Rule Creation of Fuzzy System by Reasoning Variations
M. Maeda, M. Oda, L. Ma, and H. Miyajima
Proc. International Fuzzy Systems Association World Congress
408--411
2003.6
-
Self-Organizing Neural Network for Vector Quantization and Its Application to Image Compression
H. Miyajima, N. Shigei, L. Ma, and M. Maeda
IEICE Proc. Int. Symp. Nonlinear Theory and its Applications
865--868
2002.10
-
Adaptation Strength According to Neighborhood Ranking of Self-Organizing Neural Networks
Reviewed
M. Maeda and H. Miyajima
IEICE Trans. Fundamentals
E85-A
(
9
)
2078--2082
2002.9
-
Constructive Methods of Fuzzy Rules for Function Approximation
M. Maeda and H. Miyajima
Proc. Int. Tech. Conf. Circuits/Systems, Computers and Communications
vol.3
1626--1629
2002.7
