Potential assessment of a neural network model with PCA/RBF approach for forecasting pollutant trends in Mong Kok urban air, Hong Kong.

@article{Lu2004PotentialAO,
  title={Potential assessment of a neural network model with PCA/RBF approach for forecasting pollutant trends in Mong Kok urban air, Hong Kong.},
  author={Weizhen Lu and Wen-jian Wang and Xie-Kang Wang and Sui-Hang Yan and Joseph S. C. Lam},
  journal={Environmental research},
  year={2004},
  volume={96 1},
  pages={79-87}
}
The forecasting of air pollutant trends has received much attention in recent years. It is an important and popular topic in environmental science, as concerns have been raised about the health impacts caused by unacceptable ambient air pollutant levels. Of greatest concern are metropolitan cities like Hong Kong. In Hong Kong, respirable suspended particulates (RSP), nitrogen oxides (NOx), and nitrogen dioxide (NO2) are major air pollutants due to the dominant usage of diesel fuel by commercial… CONTINUE READING
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