@article{1504,
  keywords = {Feedforward neural networks, Landforms, Mean square error, Network layers, Neural networks, Nitrogen oxides, Nobelium, Correlation coefficient, High mountains, Meteorological parameters, Neural network model, Normalized mean square error, Photochemical process, Single-hidden layer feedforward neural networks, Statistical parameters, Multilayer neural networks, artificial neural network, Atmospheric chemistry, Computer simulation, mountain region, Nitrogen oxides, numerical model, Ozone, photochemistry, Italy},
  author = {E. Aruffo and P.D. Carlo and P. Cristofanelli and P. Bonasoni},
  title = {Neural network model analysis for investigation of NO origin in a high mountain site},
  year = {2020},
  journal = {Atmosphere},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081155148&doi=10.3390%2fatmos11020173&partnerID=40&md5=d605e9950f2c9c1e292fc8ef36dbf1b7},
  doi = {10.3390/atmos11020173},
}