A pseudo-gaussian-based compensatory neural fuzzy system

IEEE International Conference on Fuzzy Systems

Volumn 1, Issue , 2003, Pages 214-219

  Lin, Cheng Jian ^a   Ho, Wen Hao ^a  

^a CHAOYANG UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

NEURAL FUZZY SYSTEMS;

FUZZY SETS;

EID: 0037861765     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. C.-J. Lin and C.-T. Lin, "An ART-Based Fuzzy Adaptive Learning Control Network," IEEE Trans. on Fuzzy Systems, Vol. 5, No.4. pp. 477-496, 1997.
2. C.-F. Juang and C.-T. Lin, "An On-Line Self-Constructing Neural Fuzzy Inference Network And Its Applications," IEEE Trans. on Fuzzy Systems, Vol. 6, No.1. pp. 12-32, 1998.
3. L.-X. Wang and J.M. Mendel, "Generating Fuzzy Rules by Learning from Examples," IEEE Trans. on Syst., Man, and Cybern., Vol. 22, No. 6, pp. 1414-1427, Nov./Dec. 1992.
4. B. Kosko, Neural Networks and Fuzzy Systems. Englewood Cliffs, NJ: Prentice-Hall, 1992.
5. Y.-Q. Zhang and A. Kandel, "Compensatory Neurofuzzy Systems with Fast Learning Algorithms", IEEE Transactions on Neural Networks, Volume: 9 Issue: 1, Jan. pp. 83-105,1998
6. C.-S. Ouyang and S.-J. Lee, "An Improved Learning Algorithm for Rule Refinement in Neuro-Fuzzy Modeling" Third International Conference Knowledge-Based Intelligent Information Engineering Systems, pp.238-241, 1999.
7. I. Rojas, H. Pomares, F.-J. Fernandez, J.-L. Bernier, F.-J. Pelayo, and A. Prieto,"A New Methodology to Obtain Fuzzy Systems Autonomously from Training Data." IEEE Conference on Fuzzy Systems, vol. 1, pp. 527-532, 1999.
8. I. Rojas, H. Pomares, F.-J. Fernandez, J.-L. Bernier, F.-J. Pelayo, and A. Prieto, "A New Radial Basis Function Networks Structure: Application to Time Series Prediction.", IEEE International Joint Conference on Neural Networks, pp. 449-454, 2000.