Prediction of ozone peaks by mixture models

Ecological Modelling

Volumn 145, Issue 2-3, 2001, Pages 275-289

  Ambroise, C ^a   Grandvalet, Y ^a  

^a UNIVERSITÉ DE TECHNOLOGIE DE COMPIÈGNE   (France)

Author keywords

Mixture model; Pollution

Indexed keywords

ATMOSPHERIC POLLUTION; MODEL; OZONE; PREDICTION;

FRANCE;

EID: 0035891873     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(01)00399-4     Document Type: Article

References (14)

1. EM algorithm for partially known labels
2. Développement d'un logiciel temps réel pour le contrôle par émission accoustique des appareils à pression
3. Combining classification and regression trees and the neuro-fuzzy inference system for environmental data modeling
4. Guideline for developing an ozone forecasting program
5. Artificial neural networks (the multilayer perceptron) a review of applications in the atmospheric sciences
6. Mixture Models
7. Comparison of neural network models with arima and regression models for prediction of houston's daily maximum ozone concentrations
8. The dymos system and its application to urban areas
9. A nonlinear regional prediction experiment on a short-range climatic process of the atmospheric ozone