Y. Mogami

发表

NewHierarchical Structure Learning Algorithm Having theNonstationary RandomEnvironment toEachLevel

Y. Mogami, 2005 .

Discretized Learning Algorithm for Variable Hierarchical Structure Learning Automata with Stationary Random Environment at Each Level

N. Baba, Y. Mogami, Tetsuya Hironaga, 2000 .

Variable Hierarchical Structure Learning Automata with an S-model Non-stationary Random Environment at Each Level

N. Baba, Y. Mogami, Keisuke Ishitome, 1998 .

New Algorithm of Variable Hierarchical Structure Learning Automata for P-model Stationary Random Environment

N. Baba, Y. Mogami, Masaki Matsushita, 1998 .

Hierarchical Structure Learning Automata with an S-Model Nonstationary Random Environment at Each Level

N. Baba, Y. Mogami, 1996 .

Variable Hierarchical Structure Learning Automata Operating in an S-model Nonstationary Environment

N. Baba, K. Sugiura, Y. Mogami, 1995 .

Variable Hierarchical Structure Learning Automata with a Stationary Random Environment at Each Level

N. Baba, Y. Mogami, T. Tagami, 1992 .

Global Minimum Point Search Under Noisy Observations Using Estimator-Type Variable Hierarchical Structure Learning Automata

N. Baba, Y. Mogami, Masaki Matsushita, 1999 .

Variable Hierarchical Structure Learning Automata Operating in a Stationary Random Environment

Y. Mogami, 1989 .

Bias-compensated Least Squares Method in Closed Loop Environment

Y. Mogami, K. Ikeda, T. Shimomura, 2007 .

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 adaptive observer for a continuous-time model estimation

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

Continuous-time model identification by using adaptive observer -Estimation of the initial state

K. Ikeda, Y. Mogami, T. Shimomura, 2006, 2006 SICE-ICASE International Joint Conference.

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

Sadaaki Miyamoto, Yoshio Mogami, Takanori Tagami, 1994 .

Bias Compensation of Recursive Least Squares Estimate in Closed Loop Environment

Yoshio Mogami, Takao Shimomura, Kenji Ikeda, 2008 .

A hybrid algorithm for finding the global minimum of error function of neural networks and its applications

Yoshio Mogami, Norio Baba, Yasuhiro Shiraishi, 1994, Neural Networks.

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.

Application of Genetic Algorithms to Cluster Analysis

Sadaaki Miyamoto, Yoshio Mogami, Takanori Tagami, 1993 .

BCLS Method for Stationary Systems in Closed Loop Environment

Kenji Ikeda, Yoshio Mogami, Takao Shimomura, 2012 .