RBF neural network implementation of fuzzy systems: Application to time series modeling

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4482 LNAI, Issue , 2007, Pages 500-507

  Marček, Milan ^a,b   Marček, Dušan ^a,c  

^a SILESIAN UNIVERSITY IN OPAVA   (Czech Republic)

^b MEDIS Nitra   (Slovakia)

^c UNIVERSITY OF ILINA   (Slovakia)

Author keywords

Classic and soft RBF network; Cloud models; Fuzzy system; Granular computing; Probabilistic time series models

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; FUZZY LOGIC; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; TIME SERIES ANALYSIS;

CLOUD MODEL; FUZZY MODELS; GRANULAR COMPUTING; PROBABILISTIC TIME-SERIES MODELS; STATISTICAL MODELS; TIME SERIES APPROXIMATION;

FUZZY SYSTEMS;

EID: 38049004388     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72530-5_60     Document Type: Conference Paper

References (7)

1. Box, G. E. P. and Jenkins, G. M.: Time Series Analysis, Forecasting and Control. San Francisco, CA : Holden-Day, (1970
2. Changyu Liu, Deyi Li, Yi Du, Xu Han: Normal Cloud Models and Their Interpretation. The 11th World Congress of International Fuzzy Systems Association (IFSA 2005). Beijing China, July 28-31, 2005, Springer, Volume III, 1540-1543
3. Kecman, V: Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy logic Models. Massachusetts Institute of Technology, The MIT Press, (2001)
4. Keller, J., M., Yager, R., R., Tahani, H.: Neural network implementation of fuzzy logic. Fuzzy Sets and Systems 45 (1992), 1-12
5. Kosko, B.: Neural networks and fuzzy systems a dynamic approach to machine intelligence. Prentice Hall, Inc., 1992
6. Marček, D.: Determination of fuzzy relations for economic fuzzy time series models by SCL techniques. The 11th World Congress of International Fuzzy Systems Association (IFSA 2005). Beijing China, July 28-31, 2005, Tsinghua University Press, Springer, Volume III, 1419-1424
7. Yoshinari, Z., Pedritz, W., Hirota, K.: Construction of fuzzy models through clustering techniques. Fuzzy Sets and Systems 54 (1993), 157-165