Ozone concentration forecast method based on genetic algorithm optimized back propagation neural networks and support vector machine data classification

Atmospheric Environment

Volumn 45, Issue 11, 2011, Pages 1979-1985

  Feng, Yu ^a   Zhang, Wenfang ^a   Sun, Dezhi ^a   Zhang, Liqiu ^a  

^a BEIJING FORESTRY UNIVERSITY   (China)

Author keywords

Artificial neural networks; Genetic algorithm; Meteorological conditions; Ozone forecast; Support vector machine

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; BACK-PROPAGATION NEURAL NETWORKS; CORRELATION COEFFICIENT; DATA SETS; FORECAST ACCURACY; FORECAST METHOD; FORECASTING CAPABILITY; METEOROLOGICAL CONDITION; OZONE CONCENTRATION; OZONE FORECAST; OZONE MEASUREMENTS; SAMPLING SITE; SUPPORT VECTOR; SVM CLASSIFICATION; UV RADIATION; WIND VELOCITIES;

BACKPROPAGATION; GENETIC ALGORITHMS; OPTIMIZATION; OZONE; SUPPORT VECTOR MACHINES; ULTRAVIOLET RADIATION; VECTORS; WEATHER FORECASTING;

NEURAL NETWORKS;

OZONE;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; CONCENTRATION (COMPOSITION); DATA SET; FORECASTING METHOD; GENETIC ALGORITHM; HUMIDITY; MEASUREMENT METHOD; METEOROLOGY; NUMERICAL MODEL; OPTIMIZATION; OZONE; SAMPLING; TEMPERATURE EFFECT; ULTRAVIOLET RADIATION; WIND VELOCITY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CHINA; CLASSIFICATION; CONCENTRATION (PARAMETERS); CORRELATION COEFFICIENT; GENETIC ALGORITHM; HUMIDITY; PREDICTION AND FORECASTING; PRIORITY JOURNAL; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; TEMPERATURE; ULTRAVIOLET RADIATION; VELOCITY; WIND;

BEIJING [CHINA]; CHINA;

EID: 79952246361     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2011.01.022     Document Type: Article

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