Air quality prediction in Milan: feed-forward neural networks, pruned neural networks and lazy learning

By Giorgio Corani. 2005

250 citations recorded by the source corpus.

Subfields: Environmental Engineering, Health, Toxicology and Mutagenesis, Industrial and Manufacturing Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Christoph Bergmeir
2. Thordis Linda Thorarinsdottir
3. Tim Januschowski
4. Pierre Pinson
5. Ricardo J. Bessa
6. Florian Ziel
7. Jooyoung Jeon
8. Michael Scheuerer

In Industrial and Manufacturing Engineering

1. M. Babai
2. A. Syntetos

Citations in the corpus

• Prediction of the Daily Mean PM10 Concentrations Using Linear Models (2008, background): “G. Corani [ 7 ] tried to predict this pollutant using feed-Am.”
• Forecasting: theory and practice (2020, methodology): “These systems can be classified in (i) data-driven models (Carnevale et al., 2016; Stadlober et al., 2018; Corani, 2005), and (ii) deterministic chemical and transport models (Honoré et al., 2007; Manders et al., 2009).”