Publications
Found 12 results
Szűrők: Szerző = Y. Yam [Minden szűrő visszaállítása]
"Adaption of TS Fuzzy Models without Complexity Expansion: HOSVD based approach",
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol. 54, issue 1, BARANYI P, 2000, FUZZY IF THEN RULES, P135BARANYI P, 2002, IEEE T IND ELECTRON, V49, P433
BARANYI P, 2002, IEEE T INSTRUM MEAS, V51, P222
BARANYI P, 2003, IEEE T IND ELECTRON, V50, P232, DOI
10.1109/TIE.2002.807673
BARANYI P, 2003, STUD FUZZ SOFT COMP, pp. 52 - 60, 2005.
Abstract
"SVD Based Reduction to MISO TS Fuzzy Models",
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, vol. 50, issue 1, pp. 232 - 242, 2003.
"SVD Based Reduction to MISO TS Fuzzy Models",
IEEE Trans. on Industrial Electronics, vol. 50, issue 1, pp. 232-242, 2003.
"SVD Based Complexity Reduction to TS Fuzzy Models",
IEEE Trans. on Industrial Electronics, vol. 49, issue 2, pp. 433-443, 04/2002.
"Minimizing TS Controller via HOSVD",
11th IEEE Int. Conference on Fuzzy Systems, FUZZ-IEEE’2002, Honolulu, USA, pp. 128-133, 2002.
"An Adaptation Technique to SVD Reduced Rule Bases",
Joint 9th IFSA World Congress and 20th NAFIPS International Conference, IFSA / NAFIPS 2001, Vancouver, Canada, pp. 2488-2493, 2001.
"HOSVD based Computational Complexity Reduction of TS Fuzzy Models",
Joint 9th IFSA World Congress and 20th NAFIPS International Conference, IFSA / NAFIPS 2001, Vancouver, Canada, pp. 2482-2485, 2001.
"Adaption of SVD reduction in restricted rule base size",
11th Soft Science Workshop at Kanazawa (SOFT 2001), pp. 32 - 35, 2000.
"SVD Based Reduction for Subdivided Rule Bases",
9th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 2000): IEEE, pp. 712 - 716, 2000.
"Complexity Reduction of a Rational General Form",
8th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 1999): IEEE, pp. 366 - 371, 1999.
"Practical Extension of the SVD Based Reduction Technique for Extremely Large Fuzzy Rule Bases",
IEEE International Workshop on Intelligent Signal Processing (WISP '99): IEEE, pp. 29 - 33, 1999.
"A new method for avoiding abnormal conclusion for a-cut based rule interpolation",
8th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE), Seoul, Korea, pp. pp. 383-388, 1999.