Application of optimizing the parameters of SVM using genetic simulated annealing algorithm

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2008, Pages 5376-5380

  Longhan, Cao ^a,b   Shanquan, Zhou ^a   Rui, Li ^a   Fan, Wu ^a   Tao, Liu ^b  

^a CHONGQING COMMUNICATION INSTITUTE   (China)

^b CHONGQING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Battery capacity; Genetic simulated annealing algorithm; SVM

Indexed keywords

ANNEALING; GLOBAL OPTIMIZATION; INDUSTRIAL ENGINEERING; INTELLIGENT CONTROL; MULTILAYER NEURAL NETWORKS; OPTIMIZATION; PARAMETER ESTIMATION; SUPPORT VECTOR MACHINES;

BATTERY CAPACITY; CONTROL AND AUTOMATION; CROSS VALIDATIONS; GENETIC SIMULATED ANNEALING ALGORITHM; GLOBAL SOLUTIONS; KERNEL PARAMETERS; OPTIMIZATION METHODS; RADIAL BASIS; SVM;

SIMULATED ANNEALING;

EID: 52149118687     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2008.4593806     Document Type: Conference Paper

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