Yoshio Mogami

发表

BCLS Method for Stationary Systems in Closed Loop Environment

Kenji Ikeda, Yoshio Mogami, Takao Shimomura, 2012 .

Application of Genetic Algorithms to Cluster Analysis

Sadaaki Miyamoto, Yoshio Mogami, Takanori Tagami, 1993 .

Continuous-time Model Identification by Using Adaptive Observer

Kenji Ikeda, Yoshio Mogami, Takao Shimomura, 2004 .

A new learning algorithm for the hierarchical structure learning automata operating in the general nonstationary multiteacher environment

Yoshio Mogami, Norio Baba, 2003, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).

Learning Behaviors of the Hierarchical Structure Learning Automata Operating in the General Nonstationary Multiteacher Environment

Yoshio Mogami, Norio Baba, 2005 .

New Learning Algorithm for Hierarchical Structure Learning Automata Operating in P-Model Stationary Random Environment

Yoshio Mogami, 2005, CIS.

A New Learning Algorithm for the Hierarchical Structure Learning Automata Operating in the General Multiteacher Environment

Yoshio Mogami, Norio Baba, 2004, IEICE Trans. Inf. Syst..

Bias compensated state space identification method in closed loop environment

Yoshio Mogami, Kenji Ikeda, Takao Shimomura, 2010, ALCOSP.

Application of Genetic Algorithm to Cluster Analysis: Effectiveness of Operations with the Degree of Population Diversity

Sadaaki Miyamoto, Yoshio Mogami, Takanori Tagami, 1994 .

Web Programming Frameworks

Kenji Ikeda, Yoshio Mogami, Takao Shimomura, 2004 .

Web application generator by image-oriented design

Yoshio Mogami, Kenji Ikeda, Muneo Takahashi, 2003, SOEN.

Learning behaviors of the hierarchical structure stochastic automata under the nonstationary multiteacher environments and their applications to intelligent robot manipulators

Yoshio Mogami, Norio Baba, N. Baba, 1987, IEEE Transactions on Systems, Man, and Cybernetics.

Bias-compensated adaptive observer for a continuous-time model estimation

Yoshio Mogami, Kenji Ikeda, Takao Shimomura, 2007, ALCOSP.

New neural network training algorithm and its applications

Yoshio Mogami, Norio Baba, Yoshiyuki Yamashita, 1995 .

A new learning algorithm for the hierarchical structure learning automata operating in the nonstationary S-model random environment

Yoshio Mogami, Norio Baba, 2002, IEEE Trans. Syst. Man Cybern. Part B.

Continuous-time model identification by using adaptive observer

Kenji Ikeda, Yoshio Mogami, Takao Shimomura, 2003 .

2-310 A Consideration on the Learning Behaviors of the Hierarchical Structure Learning Automata Operating in the Nonstationary S-model Random Environment

Yoshio Mogami, Norio Baba, 2002 .

A Consideration on the Learning Performances of the Hierarchical Structure Learning Automata (HSLA) Operating in the General Nonstationary Multiteacher Environment

Yoshio Mogami, Norio Baba, 2007, KES.

New Algorithm for Hierarchical Structure Learning Automata Operating in a Nonstationary Environment

Yoshio Mogami, Norio Baba, Yukio Sorida, 1994 .

A Basic Research Concerning an Intelligent Behavior of a Mobile Robot in an Unknown Environment

Yoshio Mogami, Norio Baba, Yasuhiro Shiraishi, 1988 .

Learning behaviors of the hierarchical structure stochastic automata : Operating in the nonstationary multiteacher environment

Yoshio Mogami, Norio Baba, 2005 .

Adaptive Observer of Sampled-data Systems

Yoshio Mogami, Kenji Ikeda, Takao Shimomura, 2003, Modelling, Identification and Control.

A Consideration on the Learning Behaviors of the HSLA Under the Nonstationary Multiteacher Environment and Their Application to Simulation and Gaming

Yoshio Mogami, Norio Baba, 2004, KES.

Construction of Autonomous Transfer System of Moving Objects by Using Stochastic Real-Valued Unit

Kenji Ikeda, Yoshio Mogami, Norihiko Ono, 2009 .

Learning Behaviors of Stochastic Automata Operating in the Nonstationary Environment for Supporting Cognitive Agents

Yoshio Mogami, Norio Baba, 2008 .

BCLS method for the estimation of continuous-time models in closed loop enviornment

Yoshio Mogami, Kenji Ikeda, Takao Shimomura, 2010, 2010 IEEE International Conference on Control Applications.

Bias-compensated least squares method in closed loop enviornment —Estimation under colored noise—

Yoshio Mogami, Takao Shimomura, Kenji Ikeda, 2009, 2009 ICCAS-SICE.

LR-I Type Learning Algorithm for Hierarchical Structure Learning Automata With S-model Stationary Random Environment at Each Level

Yoshio Mogami, Norio Baba, Takanori Tagami, 2002 .

Bias Compensation of Recursive Least Squares Estimate in Closed Loop Environment

Yoshio Mogami, Takao Shimomura, Kenji Ikeda, 2008 .