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Author Pelliccioni, A. ♦ Tirabassi, T. ♦ Gariazzo, C.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Novel Methodology Air Pollution Model ♦ Coupling Neural Network Dispersion Model ♦ Concentration Level ♦ Adequate Correlation ♦ Ground Level Concentration ♦ Hourly Prediction ♦ Deterministic Model Many Time ♦ Air Pollution Model ♦ Supervised Neural Net
Abstract Air pollution models have not so far been able to reproduce the ground level concentrations because, for example, it is recognised that deterministic models many times cannot provide an adequate correlation between hourly predictions and observed data paired in time and space. A supervised Neural Net (NN) model in forecasting concentrations levels, have to take in to
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study