All Outputs (2)

Extensive evaluation of neural network models for the prediction of NO 2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki (2003)
Journal Article
Kukkonen, J., Partanen, L., Karppinen, A., Ruuskanen, J., Junninen, H., Kolehmainen, M., …Cawley, G. (2003). Extensive evaluation of neural network models for the prediction of NO 2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki. Atmospheric Environment, 37(32), 4539-4550. https://doi.org/10.1016/S1352-2310%2803%2900583-1

Five neural network (NN) models, a linear statistical model and a deterministic modelling system (DET) were evaluated for the prediction of urban NO2 and PM10 concentrations. The model evaluation work considered the sequential hourly concentration ti... Read More about Extensive evaluation of neural network models for the prediction of NO 2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki.

A rigorous inter-comparison of ground-level ozone predictions (2003)
Journal Article
Schlink, U., Dorling, S., Pelikan, E., Nunnari, G., Cawley, G., Junninen, H., …Doyle, M. (2003). A rigorous inter-comparison of ground-level ozone predictions. Atmospheric Environment, 37(23), 3237-3253. https://doi.org/10.1016/S1352-2310%2803%2900330-3

Novel statistical approaches to prediction have recently been shown to perform well in several scientific fields but have not, until now, been comprehensively evaluated for predicting air pollution. In this paper we report on a model inter-comparison... Read More about A rigorous inter-comparison of ground-level ozone predictions.