Application of SVR with chaotic GASA algorithm to forecast Taiwanese 3G mobile phone demand

Neurocomputing

Volumn 127, Issue , 2014, Pages 206-213

  Chen, Li Yueh ^a  

^a MINGDAO UNIVERSITY   (Taiwan)

Author keywords

Cat mapping function; Chaotic genetic algorithm simulated annealing (CGASA); Support vector regression (SVR); Third generation (3G) phones demand

Indexed keywords

AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODELS; CAT MAPPINGS; CHAOTIC GENETIC ALGORITHM-SIMULATED ANNEALING (CGASA); FORECASTING PERFORMANCE; GENERAL REGRESSION NEURAL NETWORK; NONLINEAR CHARACTERISTICS; SUPPORT VECTOR REGRESSION (SVR); THIRD GENERATION (3G) PHONES DEMANDS;

FORECASTING; GENETIC ALGORITHMS; REGRESSION ANALYSIS; SIMULATED ANNEALING;

TELEPHONE SETS;

ACCURACY; ALGORITHM; ARTICLE; CHAOTIC DYNAMICS; COMPETITION; FORECASTING; GENETIC ALGORITHM; GENETIC ALGORITHM SIMULATED ANNEALING ALGORITHM; MOBILE PHONE; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; TAIWAN; TELECOMMUNICATION;

EID: 84888434020     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.08.010     Document Type: Article

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