Parameters selection for SVR based on the SCEM-UA algorithm and its application on monthly runoff prediction

Proceedings - 2007 International Conference on Computational Intelligence and Security, CIS 2007

Volumn , Issue , 2007, Pages 48-51

  Liu, Ji ^a   Wang, Bende ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Forecasting; Optimization; SCEM UA; Support vector machines; Time series

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; EVOLUTIONARY ALGORITHMS; FOOD PROCESSING; FORECASTING; INTELLIGENT CONTROL; LEARNING SYSTEMS; RUNOFF; SUPPORT VECTOR MACHINES; VECTORS;

ACCURATE PREDICTION; COMPUTATIONAL INTELLIGENCE; CONTROLLED RANDOM SEARCH; GRID-SEARCH METHOD; INTERNATIONAL CONFERENCES; LOCAL MINIMUMS; MACHINE-LEARNING; METROPOLIS ALGORITHMS; OPTIMAL PARAMETERS; OPTIMIZATION; PARAMETERS SELECTION; RUNOFF PREDICTION; SCEM-UA; SUPPORT VECTOR REGRESSION; TIME SERIES;

PARAMETER ESTIMATION;

EID: 48349101421     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIS.2007.180     Document Type: Conference Paper

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