Hourly ozone prediction for a 24-h horizon using neural networks

@article{Coman2008HourlyOP,
  title={Hourly ozone prediction for a 24-h horizon using neural networks},
  author={Adriana Coman and Anda Ionescu and Yves Candau},
  journal={Environmental Modelling and Software},
  year={2008},
  volume={23},
  pages={1407-1421}
}
This study is an attempt to verify the presence of non-linear dynamics in the ozone time series by testing a ‘‘dynamic’’ model, evaluated versus a ‘‘static’’ one, in the context of predicting hourly ozone concentrations, one-day ahead. The ‘‘dynamic’’ model uses a recursive structure involving a cascade of 24 multilayer perceptrons (MLP) arranged so that each MLP feeds the next one. The ‘‘static’’ model is a classical single MLP with 24 outputs. For both models, the inputs consist of ozone and… CONTINUE READING

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