Michiharu Maeda

According to our database, Michiharu Maeda authored at least 26 papers between 2001 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

An Algorithm of Set-Based Differential Evolution for Discrete Optimization Problem.

Michiharu Maeda, Yuta Chikuba

Proceedings of the Data Mining and Big Data - 7th International Conference, 2022

2021

Grey wolf optimization with momentum for function optimization.

Takuya Muto, Michiharu Maeda

Artif. Life Robotics, 2021

2017

A Novel Approach of Set-Based Particle Swarm Optimization with Memory State.

Michiharu Maeda, Takahiro Hino

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2017

2016

Set-based particle swarm optimization with status memory for knapsack problem.

Takahiro Hino, Sota Ito, Tao Liu, Michiharu Maeda

Artif. Life Robotics, 2016

2015

Reduction of artificial bee colony algorithm for global optimization.

Michiharu Maeda, Shinya Tsuda

Neurocomputing, 2015

2014

An algorithm of set-based differential evolution for traveling salesman problem.

Tao Liu, Michiharu Maeda

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

2012

Restoration Model with Inference Capability of Self-Organizing Maps.

Michiharu Maeda

Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

2009

Bagging and AdaBoost algorithms for vector quantization.

Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda, Lixin Ma

Neurocomputing, 2009

Learning Algorithms with Neighboring Inputs in Self-organizing Maps for Image Restoration.

Michiharu Maeda, Noritaka Shigei, Hiromi Miyajima

Proceedings of the IJCCI 2009, 2009

2008

Reduction Models in Competitive Learning Founded on Distortion Standards.

Michiharu Maeda, Noritaka Shigei, Hiromi Miyajima, Kenichi Suzaki

J. Adv. Comput. Intell. Intell. Informatics, 2008

Properties of creation and reduction according to the equinumber principle for adaptive vector quantisation.

Michiharu Maeda, Kenichi Suzaki, Noritaka Shigei, Hiromi Miyajima

Int. J. Autom. Control., 2008

Reconstruction Algorithms with Images Inferred by Self-organizing Maps.

Michiharu Maeda

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

2007

Effective Multiple Vector Quantization for Image Compression.

Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda, Lixin Ma

J. Adv. Comput. Intell. Intell. Informatics, 2007

Parallel Learning Model and Topological Measurement for Self-Organizing Maps.

Michiharu Maeda, Hiromi Miyajima, Noritaka Shigei

J. Adv. Comput. Intell. Intell. Informatics, 2007

Qubit neuron according to quantum circuit for XOR problem.

Michiharu Maeda, Masaya Suenaga, Hiromi Miyajima

Appl. Math. Comput., 2007

2005

Competitive Learning with Fast Neuron-Insertion.

Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda

J. Adv. Comput. Intell. Intell. Informatics, 2005

Adaptive Vector Quantization with Creation and Reduction Grounded in the Equinumber Principle.

Michiharu Maeda, Noritaka Shigei, Hiromi Miyajima

J. Adv. Comput. Intell. Intell. Informatics, 2005

A Multiple Vector Quantization Approach to Image Compression.

Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda

Proceedings of the Advances in Natural Computation, First International Conference, 2005

Characteristics of Equinumber Principle for Adaptive Vector Quantization.

Michiharu Maeda, Noritaka Shigei, Hiromi Miyajima

Proceedings of the Advances in Natural Computation, First International Conference, 2005

A Learning Model in Qubit Neuron According to Quantum Circuit.

Michiharu Maeda, Masaya Suenaga, Hiromi Miyajima

Proceedings of the Advances in Natural Computation, First International Conference, 2005

2003

Construction Method of Fuzzy Inference by Rule Creation.

Michiharu Maeda, Hiromi Miyajima

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003

A Hybrid Learning Approach to Self-Organizing Neural Network for Vector Quantization.

Shinya Fukumoto, Noritaka Shigei, Michiharu Maeda, Hiromi Miyajima

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003

Hybrid learning methods for vector quantization and its to image compression.

Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda, Shinya Fukumoto

Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

A Relaxation Algorithm Influenced by Self-Organizing Maps.

Michiharu Maeda

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002

Adaptation Strength According to Neighborhood Ranking of Self-Organizing Neural Networks.

Michiharu Maeda, Hiromi Miyajima

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2002

2001

Properties of deletion methods in competitive learning.

Michiharu Maeda, Hiromi Miyajima

Proceedings of the 2001 International Symposium on Circuits and Systems, 2001