Automatic construction of radial basis function networks with the growing neural gas model and its relevance for fuzzy logic

Proceedings of the ACM Symposium on Applied Computing

Volumn Part F128723, Issue , 1996, Pages 624-627

  Fritzke, Bernd ^a  

^a RUHR UNIVERSITY BOCHUM   (Germany)

Author keywords

Fuzzy systems; Incremental learning; Radial basis function networks

Indexed keywords

COMPUTATION THEORY; FUNCTIONS; FUZZY INFERENCE; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS;

AUTOMATIC CONSTRUCTION; DATA QUANTIZATIONS; FUZZY INFERENCE SYSTEMS; GROWING NEURAL GAS; INCREMENTAL LEARNING;

RADIAL BASIS FUNCTION NETWORKS;

EID: 0005901569     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/331119.331473     Document Type: Conference Paper

References (6)

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3. R. M. Gray. Vector Quantization and Signal Compression. Kluwer Academic Press, 1992.
4. J.-S. R. Jang and C.-T. Sun. Functional equivalence between radial basis function networks and fuzzy inference systems. IEEE Trans, on Neural Networks, 4(1):156-159, 1993.
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6. T. Poggio and F. Girosi. Networks for approximation and learning. In Proceedings of the IEEE, pages 1481-1497, 1990.