Exploiting the separability of linear and nonlinear parameters in radial basis function networks

IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC 2000

Volumn , Issue , 2000, Pages 321-326

  Ferreira, P M ^a   Ruano, A E ^a  

^a UNIVERSITY OF ALGARVE   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ADAPTIVE SYSTEMS; FEEDFORWARD NEURAL NETWORKS; FUNCTIONS; LEARNING ALGORITHMS; NEURAL NETWORKS; SIGNAL PROCESSING;

CONTROL APPLICATIONS; HYBRID METHOD; NON-LINEAR PARAMETERS; NONLINEAR STRUCTURE; OFF-LINE MODEL; OFF-LINE TRAINING; OPERATING ENVIRONMENT; SUPERVISED NEURAL NETWORKS;

RADIAL BASIS FUNCTION NETWORKS;

EID: 84962427414     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASSPCC.2000.882493     Document Type: Conference Paper

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