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

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr1965.35.1191 ◽

1999 ◽

Vol 35 (9) ◽

pp. 1191-1197 ◽

Author(s):

Yoshio MOGAMI ◽

Norio BABA ◽

Masaki MATSUSHITA

Keyword(s):

Hierarchical Structure ◽

Global Minimum ◽

Structure Learning ◽

Learning Automata ◽

Minimum Point ◽

Type Variable ◽

Point Search ◽

Global Minimum Point

Download Full-text

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

Lecture Notes in Computer Science - Knowledge-Based Intelligent Information and Engineering Systems ◽

10.1007/978-3-540-74829-8_11 ◽

2007 ◽

pp. 82-90

Author(s):

Norio Baba ◽

Yoshio Mogami

Keyword(s):

Hierarchical Structure ◽

Structure Learning ◽

Learning Automata ◽

The Hierarchical Structure ◽

Learning Performances

Download Full-text

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

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr1965.36.852 ◽

2000 ◽

Vol 36 (10) ◽

pp. 852-858

Author(s):

Yoshio MOGAMI ◽

Norio BABA ◽

Nobuhiro TANI

Keyword(s):

Hierarchical Structure ◽

Random Environment ◽

Structure Learning ◽

Learning Algorithm ◽

Learning Automata ◽

Download Full-text

Global minimum point of a convex function

Applied Mathematics and Computation ◽

10.1016/0096-3003(93)90022-7 ◽

1993 ◽

Vol 55 (2-3) ◽

pp. 213-218 ◽

Author(s):

J.M. Soriano

Keyword(s):

Convex Function ◽

Global Minimum ◽

Minimum Point ◽

Global Minimum Point

Download Full-text

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

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr1965.38.97 ◽

2002 ◽

Vol 38 (1) ◽

pp. 97-103 ◽

Author(s):

Yoshio MOGAMI ◽

Norio BABA ◽

Akira SHIOJIRI ◽

Takanori TAGAMI

Keyword(s):

Hierarchical Structure ◽

Random Environment ◽

Structure Learning ◽

Learning Algorithm ◽

Learning Automata ◽

Download Full-text

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

IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ◽

10.1109/tsmcb.2002.1049609 ◽

2002 ◽

Vol 32 (6) ◽

pp. 750-758 ◽

Author(s):

N. Baba ◽

Y. Mogami

Keyword(s):

Hierarchical Structure ◽

Random Environment ◽

Structure Learning ◽

Learning Algorithm ◽

Learning Automata ◽

New Learning ◽

The Hierarchical Structure ◽

Download Full-text

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

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr1965.34.239 ◽

1998 ◽

Vol 34 (3) ◽

pp. 239-246

Author(s):

Yoshio MOGAMI ◽

Norio BABA ◽

Masaki MATSUSHITA

Keyword(s):

Hierarchical Structure ◽

Random Environment ◽

Structure Learning ◽

Learning Automata

Download Full-text

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

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr1965.34.1706 ◽

1998 ◽

Vol 34 (11) ◽

pp. 1706-1714

Author(s):

Yoshio MOGAMI ◽

Norio BABA ◽

Keisuke ISHITOME

Keyword(s):

Hierarchical Structure ◽

Random Environment ◽

Structure Learning ◽

Learning Automata ◽

Download Full-text

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

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr1965.28.626 ◽

1992 ◽

Vol 28 (5) ◽

pp. 626-631

Author(s):

Yoshio MOGAMI ◽

Norio BABA ◽

Takanori TAGAMI

Keyword(s):

Hierarchical Structure ◽

Random Environment ◽

Structure Learning ◽

Learning Automata

Download Full-text

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

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr1965.32.731 ◽

1996 ◽

Vol 32 (5) ◽

pp. 731-740

Author(s):

Yoshio MOGAMI ◽

Norio BABA

Keyword(s):

Hierarchical Structure ◽

Random Environment ◽

Structure Learning ◽

Learning Automata ◽

Download Full-text

Variable Hierarchical Structure Learning Automata Operating in a Stationary Random Environment

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr1965.25.1018 ◽

1989 ◽

Vol 25 (9) ◽

pp. 1018-1025

Author(s):

Yoshio MOGAMI

Keyword(s):

Hierarchical Structure ◽

Random Environment ◽

Structure Learning ◽

Learning Automata

Download Full-text