Evolving Gaussian process models for predicting chaotic time-series

2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings

Volumn , Issue , 2014, Pages

  Petelin, Dejan ^a   Kocijan, Juš ^a,b  

^a JO EF STEFAN INSTITUTE   (Slovenia)

^b UNIVERSITY OF NOVA GORICA   (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; FORECASTING; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); GLASS; INTELLIGENT SYSTEMS; ITERATIVE METHODS; NORMAL DISTRIBUTION; TIME SERIES;

BAYESIAN PROBABILITIES; CHAOTIC TIME SERIES; COMPARATIVE STUDIES; ENGINEERING APPLICATIONS; GAUSSIAN PROCESS MODELS; MODEL BASED CONTROLS; NON-PARAMETRIC MODEL; TIME SERIES PREDICTION;

SEARCH ENGINES;

EID: 84920532290     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/eais.2014.6867476     Document Type: Conference Paper

References (23)

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