Neural Network Models for Air Quality Prediction: A Comparative Study

@inproceedings{Barai2007NeuralNM,
  title={Neural Network Models for Air Quality Prediction: A Comparative Study},
  author={Sudhirkumar V. Barai and A. K. Dikshit and Sameer Sharma},
  year={2007}
}
The present paper aims to find neural network based air quality predictors, which can work with limited number of data sets and are robust enough to handle data with noise and errors. A number of available variations of neural network models such as Recurrent Network Model (RNM), Change Point detection Model with RNM (CPDM), Sequential Network Construction Model (SNCM), and Self Organizing Feature Maps (SOFM) are implemented for predicting air quality. Developed models are applied to simulate… CONTINUE READING

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