Learning from noisy information in FasArt and FasBack neuro-fuzzy systems

Neural Networks

Volumn 14, Issue 4-5, 2001, Pages 407-425

  Cano Izquierdo, José Manuel ^a   Dimitriadis, Yannis A ^b   Gómez Sánchez, Eduardo ^b   López Coronado, Juan ^a  

^a Sch Indust Eng Polytech U   (Spain)

^b Sch T   (Spain)

Author keywords

Adaptive resonance theory; FasArt; FasBack; Fuzzy ARTMAP; Learning with noise; Neuro fuzzy models; System identification

Indexed keywords

ACOUSTIC NOISE; COMPUTER SIMULATION; FUZZY SETS; RESONANCE;

ADAPTIVE RESONANCE THEORY (ART);

NEURAL NETWORKS;

ACCURACY; ALGORITHM; ANALYTICAL ERROR; ARTIFICIAL NEURAL NETWORK; INTERMETHOD COMPARISON; LEARNING; MATHEMATICAL MODEL; PRIORITY JOURNAL; REVIEW; THEORY;

EID: 0034999381     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(01)00031-4     Document Type: Article

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