Properties of deletion methods in competitive learning. - Michiharu Maeda; Hiromi Miyajima (ISCAS (3), 2001)

Adaptation Strength According to Neighborhood Ranking of Self-Organizing Neural Networks. - Michiharu Maeda; Hiromi Miyajima (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2002)

A Relaxation Algorithm Influenced by Self-Organizing Maps. - Michiharu Maeda (ICANN, 2003)

Hybrid learning methods for vector quantization and its to image compression. - Noritaka Shigei; Hiromi Miyajima; Michiharu Maeda; Shinya Fukumoto (ISSPA (2), 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)

Construction Method of Fuzzy Inference by Rule Creation. - Michiharu Maeda; Hiromi Miyajima (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003)

A Learning Model in Qubit Neuron According to Quantum Circuit. - Michiharu Maeda; Masaya Suenaga; Hiromi Miyajima (ICNC (1), 2005)

Characteristics of Equinumber Principle for Adaptive Vector Quantization. - Michiharu Maeda; Noritaka Shigei; Hiromi Miyajima (ICNC (2), 2005)

A Multiple Vector Quantization Approach to Image Compression. - Noritaka Shigei; Hiromi Miyajima; Michiharu Maeda (ICNC (2), 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)

Competitive Learning with Fast Neuron-Insertion. - Noritaka Shigei; Hiromi Miyajima; Michiharu Maeda (J. Adv. Comput. Intell. Intell. Informatics, 2005)

Qubit neuron according to quantum circuit for XOR problem. - Michiharu Maeda; Masaya Suenaga; Hiromi Miyajima (Appl. Math. Comput., 2007)

Parallel Learning Model and Topological Measurement for Self-Organizing Maps. - Michiharu Maeda; Hiromi Miyajima; Noritaka Shigei (J. Adv. Comput. Intell. Intell. Informatics, 2007)

Effective Multiple Vector Quantization for Image Compression. - Noritaka Shigei; Hiromi Miyajima; Michiharu Maeda; Lixin Ma (J. Adv. Comput. Intell. Intell. Informatics, 2007)

Reconstruction Algorithms with Images Inferred by Self-organizing Maps. - Michiharu Maeda (ICIC (1), 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)

Reduction Models in Competitive Learning Founded on Distortion Standards. - Michiharu Maeda; Noritaka Shigei; Hiromi Miyajima; Kenichi Suzaki (J. Adv. Comput. Intell. Intell. Informatics, 2008)

Learning Algorithms with Neighboring Inputs in Self-organizing Maps for Image Restoration. - Michiharu Maeda; Noritaka Shigei; Hiromi Miyajima (IJCCI, 2009)

Bagging and AdaBoost algorithms for vector quantization. - Noritaka Shigei; Hiromi Miyajima; Michiharu Maeda; Lixin Ma (Neurocomputing, 2009)

Restoration Model with Inference Capability of Self-Organizing Maps. - Michiharu Maeda (WSOM, 2012)

An algorithm of set-based differential evolution for traveling salesman problem. - Tao Liu; Michiharu Maeda (SCIS&ISIS, 2014)

Reduction of artificial bee colony algorithm for global optimization. - Michiharu Maeda; Shinya Tsuda (Neurocomputing, 2015)

Set-based particle swarm optimization with status memory for knapsack problem. - Takahiro Hino; Sota Ito; Tao Liu; Michiharu Maeda (Artif. Life Robotics, 2016)

A Novel Approach of Set-Based Particle Swarm Optimization with Memory State. - Michiharu Maeda; Takahiro Hino (MIWAI, 2017)

Grey wolf optimization with momentum for function optimization. - Takuya Muto; Michiharu Maeda (Artif. Life Robotics, 2021)

An Algorithm of Set-Based Differential Evolution for Discrete Optimization Problem. - Michiharu Maeda; Yuta Chikuba (DMBD (2), 2022)

Continuous Function Optimization through Perturbation of Adaptive Differential Evolution with Optional External Archive. - Michiharu Maeda; Ryu Aishima (ICCCM, 2024)