A hardware design for a new learning system based on fuzzy concepts

IEEE International Conference on Fuzzy Systems

Volumn 2, Issue , 2003, Pages 1002-1007

  Murakami, Masayuki ^a,b   Honda, Nakaji ^a   Nishino, Junji ^a  

^a UNIVERSITY OF ELECTRO COMMUNICATIONS   (Japan)

^b YOKOGAWA ELECTRIC CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER HARDWARE; COMPUTER SOFTWARE; FUZZY CONTROL; PARALLEL PROCESSING SYSTEMS;

ACTIVE LEARNING METHOD (ALM);

LEARNING SYSTEMS;

EID: 0038537303     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Saeed Bagheri Shouraki, "A Novel Fuzzy Approach to Modeling and Control and its Hardware Implementation Based on Brain Functionality and Specifications," The Univ. of Electro-Communications, March 2000.
2. Saeed Bagheri Shouraki and Nakaji Honda, "Recursive Fuzzy Modeling Based on Fuzzy Interpolation," Journal of Advanced Computational Intelligence, Vol. 3, No. 2, April 1999, pp. 114-125.
3. Saeed Bagheri Shouraki, et al, "Fuzzy Interpretation of Human Intelligence," International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, Vol. 7, No. 4, August 1999, pp. 407-414.
4. E. H. Mamdani, "Application of Fuzzy Algorithms for Control of Simple Dynamic Plants" Proceedings of IEE, Vol. 121, No. 12, December 1974, pp. 1585-1588.
5. Takashi Hanyu, et al, "Modeling of Non-linear Systems by the Active Learning Method," Proceedings of the 17th Fuzzy System Symposium, September 2001, pp. 141-144. (in Japanese)
6. Go Yuasa, et al, "Applying an active learning method to control problems," Proceedings of the 4th Asian Fuzzy Systems Symposium, May 2000, pp. 572-577.