Predicting bulk ambient aerosol compositions from ATOFMS data with ART-2a and multivariate analysis

Analytica Chimica Acta

Volumn 549, Issue 1-2, 2005, Pages 179-187

  Zhao, Weixiang ^a   Hopke, Philip K ^a   Qin, Xueying ^b   Prather, Kimberly A ^b  

^a Clarkson University   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Adaptive resonance theory; Aerosol; Aritificial neural networks; ART 2a; ATOFMS; Calibration model; Partial least squares; PLS; Radial basis functions; RBF

Indexed keywords

COMPOSITION; CONCENTRATION (PROCESS); MASS SPECTROMETRY; NEURAL NETWORKS; RESONANCE;

ADAPTIVE RESONANCE THEORY; AEROSOL TIME-OF-FLIGHT MASS SPECTROMETRY (ATOFMS); ART-2A; CALIBRATION MODEL; PARTIAL LEAST SQUARE (PLS); RADIAL BASIS FUNCTIONS (RBF);

AEROSOLS;

CARBON;

AMBIENT AIR; ARTICLE; CALIBRATION; CHEMICAL COMPOSITION; CLUSTER ANALYSIS; MASS; MULTIVARIATE ANALYSIS; NONLINEAR SYSTEM; PARTICLE SIZE; PREDICTION; PRIORITY JOURNAL; REFLECTOMETRY; REGRESSION ANALYSIS; SAMPLE SIZE; STATISTICAL MODEL; SUBSTITUTION REACTION; TIME; TIME OF FLIGHT MASS SPECTROMETRY;

EID: 23844488534     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2005.06.012     Document Type: Article

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