Interpretation of Optical Flow through Neural Network Learning. - Minami Miyauchi; Masatoshi Seki; Akira Watanabe; Arata Miyauchi (MVA, 1992)

Interpretation of Optical Flow Through Complex Neural Network. - Minami Miyauchi; Masatoshi Seki; Akira Watanabe; Arata Miyauchi (IWANN, 1993)

A Method to Interpret 3D Motion Using Neural Networks. - Arata Miyauchi; Akira Watanabe; Minami Miyauchi (ICIP (3), 1994)

Analysis for Characteristics of GA-Based Learning Method of Binary Neural Networks. - Tatsuya Hirane; Tetsuya Toryu; Hidehiro Nakano; Arata Miyauchi (ICANN (1), 2005)

Parallel Distributed Profit Sharing for PC Cluster. - Takuya Fujishiro; Hidehiro Nakano; Arata Miyauchi (ICANN (1), 2006)

A reinforcement learning method using a dynamic reinforcement function based on action selection probability. - Yugo Hasegawa; Satoko Takada; Hidehiro Nakano; Shuichi Arai; Arata Miyauchi (Syst. Comput. Jpn., 2007)

Synchronization-based data gathering scheme using chaotic pulse-coupled neural networks in wireless sensor networks. - Hidehiro Nakano; Akihide Utani; Arata Miyauchi; Hisao Yamamoto (IJCNN, 2008)

Data Gathering Scheme Using Chaotic Pulse-Coupled Neural Networks for Wireless Sensor Networks. - Hidehiro Nakano; Akihide Utani; Arata Miyauchi; Hisao Yamamoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

A competitive PSO based on evaluation with priority for finding plural solutions. - Yu Taguchi; Yuta Kanamori; Hidehiro Nakano; Akihide Utani; Arata Miyauchi; Hisao Yamamoto (IEEE Congress on Evolutionary Computation, 2010)

A learning method for dynamic Bayesian network structures using a multi-objective particle swarm optimizer. - Kousuke Shibata; Hidehiro Nakano; Arata Miyauchi (Artif. Life Robotics, 2011)

A Data Gathering Scheme in Wireless Sensor Networks Using a Spiking Neural Network with Simple Local Information. - Ikki Fujita; Hidehiro Nakano; Arata Miyauchi (ICONIP (4), 2012)

An Artificial Bee Colony algorithm for solving dynamic optimization problems. - Masataka Kojima; Hidehiro Nakano; Arata Miyauchi (IEEE Congress on Evolutionary Computation, 2013)

Solving performances of PSO networks with temporal couplings. - Tomoyuki Sasaki; Hidehiro Nakano; Arata Miyauchi; Akira Taguchi (SMC, 2014)

An artificial bee colony algorithm with a memory scheme for Dynamic Optimization Problems. - Hidehiro Nakano; Masataka Kojima; Arata Miyauchi (CEC, 2015)

Improvement of the Solving Performance by the Networking of Particle Swarm Optimization. - Tomoyuki Sasaki; Hidehiro Nakano; Arata Miyauchi; Akira Taguchi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Solving Performances of Piecewise-Linear Particle Swarm Optimizer with Chaotic Dynamics. - Tomoyuki Sasaki; Hidehiro Nakano; Arata Miyauchi; Akira Taguchi (SCIS&ISIS, 2016)

Analysis for basic dynamics and performances of piecewise particle swarm optimizers. - Tomoyuki Sasaki; Hidehiro Nakano; Arata Miyauchi; Akira Taguchi (SMC, 2016)

Particle Swarm Optimizer Networks with Stochastic Connection for Improvement of Diversity Search Ability to Solve Multimodal Optimization Problems. - Tomoyuki Sasaki; Hidehiro Nakano; Arata Miyauchi; Akira Taguchi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Deterministic Particle Swarm Optimizer with the Convergence and Divergence Dynamics. - Tomoyuki Sasaki; Hidehiro Nakano; Arata Miyauchi; Akira Taguchi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

CycleGAN using Semi-Supervised Learning. - Masashi Okada; Hidehiro Nakano; Arata Miyauchi (Aust. J. Intell. Inf. Process. Syst., 2019)