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Prediction of CO and NOx Levels in Mexico City Using Associative Models.
Amadeo José Argüelles-Cruz
Cornelio Yáñez
Itzamá López-Yáñez
Oscar Camacho Nieto
Published in:
EANN/AIAI (2) (2011)
Keyphrases
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abstraction levels
predictive model
prior knowledge
probabilistic model
prediction accuracy
experimental data
prediction model
parameter estimation
predictive modeling
real time
levels of abstraction
statistical methods
statistical models
model selection
machine learning
neural network
data sets