Corpus ID: 32241183

A Hybrid ARIMA and Neural Network Model to Forecast Particulate Matter Concentration in Changsha , China

@inproceedings{He2012AHA,
  title={A Hybrid ARIMA and Neural Network Model to Forecast Particulate Matter Concentration in Changsha , China},
  author={Guangxin He and Qihong Deng},
  year={2012}
}
Autoregressive integrated moving average (ARIMA) is a popular linear models in time series forecasting during the past years. Recent research activities with artificial neural networks (ANNs) suggest that ANNs could be a good selection when the predictor and predictand were not the simple linear relationship. Due to the complex linear and non-linear patterns, there were no ideal methods only using linear or non-linear regression to forecast the particulate matter concentration. In view of the… Expand

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