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

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

10.1007/978-3-540-45224-9_151 ◽

2003 ◽

pp. 1122-1128 ◽

Author(s):

Norio Baba ◽

Yoshio Mogami

Keyword(s):

Hierarchical Structure ◽

Structure Learning ◽

Learning Algorithm ◽

Learning Automata ◽

New Learning ◽

The Hierarchical Structure

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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 ◽

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

Computational Intelligence and Security - Lecture Notes in Computer Science ◽

10.1007/11596448_16 ◽

2005 ◽

pp. 115-120

Author(s):

Yoshio Mogami

Keyword(s):

Hierarchical Structure ◽

Random Environment ◽

Structure Learning ◽

Learning Algorithm ◽

Learning Automata ◽

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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

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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 ◽

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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 ◽

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A relative reward-strength algorithm for the hierarchical structure learning automata operating in the general nonstationary multiteacher environment

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

10.1109/tsmcb.2005.862489 ◽

2006 ◽

Vol 36 (4) ◽

pp. 781-794 ◽

Author(s):

N. Baba ◽

Y. Mogami

Keyword(s):

Hierarchical Structure ◽

Structure Learning ◽

Learning Automata ◽

The Hierarchical Structure

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

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr1965.36.676 ◽

2000 ◽

Vol 36 (8) ◽

pp. 676-683

Author(s):

Yoshio MOGAMI ◽

Norio BABA ◽

Tetsuya HIRONAGA

Keyword(s):

Hierarchical Structure ◽

Random Environment ◽

Structure Learning ◽

Learning Algorithm ◽

Learning Automata

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

Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications ◽

10.5687/sss.2005.339 ◽

2005 ◽

Vol 2005 (0) ◽

pp. 339-344

Author(s):

Norio Baba ◽

Yoshio Mogami

Keyword(s):

Hierarchical Structure ◽

Structure Learning ◽

Learning Automata ◽

Learning Behaviors ◽

The Hierarchical Structure

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A consideration on the learning algorithm of neural network-utilization of the hierarchical structure stochastic automata for the backpropagation method with momentum

1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) ◽

10.1109/kes.1998.725945 ◽

2002 ◽

Author(s):

N. Baba ◽

K. Sato

Keyword(s):

Neural Network ◽

Hierarchical Structure ◽

Learning Algorithm ◽

Stochastic Automata ◽

Network Utilization ◽

The Hierarchical Structure ◽

Backpropagation Method

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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

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