A study on the real-time modeling capabilities of the IDS method

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2005, Pages 803-808

  Murakami, Masayuki ^a   Honda, Nakaji ^a  

^a UNIVERSITY OF ELECTRO COMMUNICATIONS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; INFORMATION ANALYSIS; MATHEMATICAL MODELS; NEURAL NETWORKS; PARALLEL PROCESSING SYSTEMS; REAL TIME SYSTEMS;

ALGORITHMIC ARCHITECTURE; FUZZY INFERENCE SYSTEMS; INK DROP METHOD;

FUZZY SETS;

EID: 23944488557     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. S. B. Shouraki, "A Novel Fuzzy Approach to Modeling and Control and its Hardware Implementation Based on Brain Functionality and Specifications," Ph.D. dissertation, The Univ. of Electro-Communications, Chofu, Japan, March 2000.
3. S. B. Shouraki and N. Honda, "Recursive Fuzzy Modeling Based on Fuzzy Interpolation," Journal of Advanced Computational Intelligence, Vol. 3, No. 2, pp. 114 - 125, April 1999.
4. S. B. Shouraki, G. Yuasa, and N. Honda, "Fuzzy Interpretation of Human Intelligence," International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, Vol. 7, No. 4, pp. 407 - 414, August 1999.
5. A. Kandel and G. Langholz, Eds., "Fuzzy Hardware: Architectures and Applications," Kluwer Academic Publishers, Boston, London, Dordrecht, 1998.
6. M. Murakami, N. Honda, and J. Nishino, "A High Performance IDS Processing Unit for a New Fuzzy-based Modeling," Proceedings of the 13th IEEE International Conference on Fuzzy Systems, July 2004, pp. 935 - 940.
7. D.E. Rumelhart, G.E. Hinton, and R. J. Williams, "Lerning Internal Representations by Error Propagation," in Parallel Distributed Processing, vol 1, Cambridge, MA: MIT Press, 1986, pp. 318 - 362.