ANFIS synthesis by hyperplane clustering

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn 1, Issue , 2001, Pages 340-345

  Panella, M ^a   Rizzi, A ^a   Frattale, F M ^a   Martinelli, Mascioli G ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTER SIMULATION; FUNCTION EVALUATION; FUZZY SETS; LEARNING SYSTEMS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; NUMERICAL METHODS; OPTIMIZATION;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS; FUNCTION APPROXIMATION; FUZZY NEURAL NETWORKS;

ADAPTIVE SYSTEMS;

EID: 0035792409     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. J.S. Jang, C.T. Sun, and E. Mizutani, Neuro-Fuzzy and Soft Computing: a Computational Approach to Learning and Machine Intelligence, Prentice Hall, Upper Saddle River, NJ, USA, 1997.
2. P.K. Simpson, "Fuzzy Min-Max Neural Networks-Part 1: Classification", IEEE Trans. on Neural Networks, Vol. 3, No. 5, 1992, pp. 776-786.
3. A. Rizzi, F.M. Frattale Mascioli, and G. Martinelli, "Adaptive Resolution Min-Max Classifier", Proc. of WCCI/FUZZ-IEEE '98, Anchorage, Alaska, USA, May 1998, pp. 1435-1440.
4. R.M. Gray, "Vector Quantization", IEEE ASSP Magazine, April 1984, pp. 4-27.
5. A. Rizzi, "Automatic Training of Min-Max Classifiers", Neuro-Fuzzy Pattern Recognition, Series in Machine Perception and Art. Intelligence, Vol. 41, H. Bunke and A. Kandel (eds.), World Scientific Publ. Co., Singapore, December 2000, pp. 101-124.
6. F.M. Frattale Mascioli, and G. Martinelli, "A constructive approach to neuro-fuzzy networks", Signal Processing, Vol. 64, No. 3, 1998, pp. 347-358.
7. F.M. Frattale Mascioli, A. Rizzi, M. Panella, and G. Martinelli, "Scale-Based Approach to Hierarchical Fuzzy Clustering", Signal Processing, Vol. 80, No. 6, 2000, pp. 1001-1016.
8. I. Rojas, H. Pomares, J. Ortega, and A. Prieto, "Self-Organized Fuzzy System Generation from Training Examples", IEEE Trans. on Fuzzy Systems, Vol. 8, No. 1, February 2000, pp. 23-36.