The comparison of PM2.5 forecasting methods in the form of multivariate and univariate time series based on support vector machine and genetic algorithm

ECTI-CON 2018 - 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology

Volumn , Issue , 2018, Pages 572-575

  Chuentawat, Ronnachai ^a   Kan Ngan, Yosporn ^a  

^a NAKHON RATCHASIMA RAJABHAT UNIVERSITY   (Thailand)

Author keywords

Forecasting; Genetic Algorithm; Multivariate time series; Support Vector Machine; Univariate time series

Indexed keywords

GENETIC ALGORITHMS; METEOROLOGY; SUPPORT VECTOR MACHINES; TIME SERIES;

DATA SET; DATA SUBSETS; FORECASTING METHODS; FORECASTING PRECISION; MULTIVARIATE TIME SERIES; MULTIVARIATE TIME SERIES MODELS; SUPPORT VECTORS MACHINE; TIME SERIES FORECASTING; UNIVARIATE TIME SERIES; UNIVARIATE TIME SERIES MODELS;

FORECASTING;

EID: 85062228662     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ECTICon.2018.8619867     Document Type: Conference Paper

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