Nonlinear time series modelling and prediction using Gaussian RBF network with evolutionary structure optimisation

Electronics Letters

Volumn 37, Issue 10, 2001, Pages 639-640

  Hong, S G ^a   Oh, S K ^a   Kim, M S ^a   Lee, J J ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; EVOLUTIONARY ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; PERFORMANCE; PROBABILITY;

EVOLUTIONARY STRUCTURE OPTIMIZATION METHOD; GAUSSIAN RADIAL BASIS FUNCTION NETWORKS; LEAST SQUARE LEARNING METHOD;

RADIAL BASIS FUNCTION NETWORKS;

EID: 0035837228     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:20010431     Document Type: Article

References (5)

1. Nonlinear time series modelling and prediction using Gaussian RBF network with enhanced clustering and RLS learning
2. Evolving Gaussian RBF network for nonlinear time series modelling and prediction
3. Evolving artificial neural network
4. A new look at the statistical model identification
5. Oscillation and chaos in physiological control systems