Yoshio Mogami
According to our database1,
Yoshio Mogami
authored at least 14 papers
between 1994 and 2010.
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Bibliography
2010
Proceedings of the 10th IFAC International Workshop on the Adaptation and Learning in Control and Signal Processing, 2010
Proceedings of the IEEE International Conference on Control Applications, 2010
2007
A Consideration on the Learning Performances of the Hierarchical Structure Learning Automata (HSLA) Operating in the General Nonstationary Multiteacher Environment.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007
Proceedings of the 9th IFAC Workshop on Adaptation and Learning in Control and Signal Processing, 2007
2006
A relative reward-strength algorithm for the hierarchical structure learning automata operating in the general nonstationary multiteacher environment.
IEEE Trans. Syst. Man Cybern. Part B, 2006
2005
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005
New Learning Algorithm for Hierarchical Structure Learning Automata Operating in P-Model Stationary Random Environment.
Proceedings of the Computational Intelligence and Security, International Conference, 2005
2004
A New Learning Algorithm for the Hierarchical Structure Learning Automata Operating in the General Multiteacher Environment.
IEICE Trans. Inf. Syst., 2004
A Consideration on the Learning Behaviors of the HSLA Under the Nonstationary Multiteacher Environment and Their Application to Simulation and Gaming.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004
2003
ACM SIGSOFT Softw. Eng. Notes, 2003
Adaptive Observer of Sampled-data Systems.
Proceedings of the 22nd IASTED International Conference on Modelling, 2003
A New Learning Algorithm for the Hierarchical Structure Learning Automata Operating in the General Nonstationary Multiteacher Environment.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003
2002
A new learning algorithm for the hierarchical structure learning automata operating in the nonstationary S-model random environment.
IEEE Trans. Syst. Man Cybern. Part B, 2002
1994
A hybrid algorithm for finding the global minimum of error function of neural networks and its applications.
Neural Networks, 1994