Hiroshi Kinjo

Hiroshi Kinjo, Tetsuhiko Yamamoto, Susumu Kamoi, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

Parameter Identification of the Image in Frequency Domain Using Adaptive Digital Filters

Hiroshi Kinjo, Tetsuhiko Yamamoto, Sigeru Omatu, 1994 .

Fruit maturity detection using neural network and an odor sensor: Toward a quick detection

Hiroshi Kinjo, Sam Chau Duong, Naoki Oshiro, 2015, 2015 10th Asian Control Conference (ASCC).

Nonlinear Active Noise Control via Model-Based Approaches

Hiroshi Kinjo, Sam Chau Duong, Naoki Oshiro, 2011, J. Adv. Comput. Intell. Intell. Informatics.

Enhanced performance for multivariable optimization problems by use of GAs with recessive gene structure

Hiroshi Kinjo, Tetsuhiko Yamamoto, Endusa Muhando, 2005, Artificial Life and Robotics.

A switch controller design for the acrobot using neural network and genetic algorithm

Hiroshi Kinjo, Tetsuhiko Yamamoto, Sam Chau Duong, 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

Maximum Wind Power Capture by Sensorless Rotor Position and Wind Velocity Estimation from Flux Linkage and Sliding Observer

Tomonobu Senjyu, Atsushi Yona, Toshihisa Funabashi, 2007 .

Suboptimal Control for a Nonlinear System Using Neural Networks

Hiroshi Kinjo, Tetsuhiko Yamamoto, Sigeru Omatu, 1993 .

Machine Fault Diagnosis Using a Neural Network Based on Autocorrelation Coefficients of Wavelet Transformed Signals

Hiroshi Kinjo, Tetsuhiko Yamamoto, Yuling Yan, 2001 .

2313 Neuro Control of Load Swing for Rotary Crane System with Disturbance

Kouhei Ohnishi, Hiroshi Kinjo, Kunihiko Nakazono, 2009 .

Load swing suppression for rotary crane using neuro-controller optimized by genetic algorithm

Kouhei Ohnishi, Hiroshi Kinjo, Kunihiko Nakazono, 2010 .

Stochastic inequality constrained closed-loop model-based predictive control of MW-class wind generating system in the electric power supply

Tomonobu Senjyu, Toshihisa Funabashi, Hiroshi Kinjo, 2010 .

Investigation of training performance of convolutional neural networks evolved by genetic algorithms using an activity function

Hiroshi Kinjo, Kunihiko Nakazono, Naoki Oshiro, 2019, Artificial Life and Robotics.

2311 Regulator Design of Four-wheel Vehicle Using Time-varying Controller Optimized by Genetic Algorithm

Hiroshi Kinjo, Kunihiko Nakazono, Tetsuhiko Yamamoto, 2009 .

Model-based Approaches for Engine Noise Canceling

Hiroshi Kinjo, Sam Chau Duong, Naoki Oshiro, 2010 .

Simulation study of multitrailer control system using neurocontrollers evolved by a modified GA

Ayaki Kiyuna, Hiroshi Kinjo, Kunihiko Nakazono, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

Training of Time Series Patterns Using Recurrent Neural Networks Based on the Extended Kalman Filter

Hiroshi Kinjo, Kunihiko Nakazono, Tetsuhiko Yamamoto, 1997 .

Enhanced performance for multivariable optimization problems by use of genetic algorithms with recessive gene structure

Hiroshi Kinjo, Tetsuhiko Yamamoto, Endusa Billy Muhando, 2005 .

定速昇温装置のロバスト制御 : H∞制御によるアプローチ

Hiroshi Kinjo, Tetsuhiko Yamamoto, Shiro Tamaki, 1992 .

Neurocontrol for a rotary crane system with disturbance

Kouhei Ohnishi, Hiroshi Kinjo, Kunihiko Nakazono, 2010 .

Force and position control of robot manipulator using neurocontroller with GA based training

Hiroshi Kinjo, Kunihiko Nakazono, Tetsuhiko Yamamoto, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

Design of Optimal Digital Feedback Controller based on Impulse Response Information and its Application to Vibration Control.

Hiroshi Kinjo, Tetsuhiko Yamamoto, Shiro Tamaki, 1993 .

Backward movement control with two-trailer truck system using genetic programming

Hiroshi Kinjo, Naoki Oshiro, Takanori Ogawa, 2008, Artificial Life and Robotics.

Load Swing Suppression for Rotary Crane System Using Direct Gradient Descent Controller Optimized by Genetic Algorithm

Kouhei Ohnishi, Hiroshi Kinjo, Kunihiko Nakazono, 2009 .

Backward Movement Control of a Trailer-Truck System Using Neuro-Controllers Evolved by Genetic Algorithm

Hiroshi Kinjo, Kunihiko Nakazono, Tetsuhiko Yamamoto, 2001 .

Influence of Size and Location of Stop Drilling Hole and Additional Hole on Fatigue Life Extension

Hiroshi Kinjo, Tatsujiro Miyazaki, Shiro Nagamatsu, 2010 .

410 Backward Movement Control with a Trailer System Used Genetic Programmins

Hiroshi Kinjo, Naoki Oshiro, Takanori Ogawa, 2007 .