论文信息 - Forecasting nitrogen dioxide concentration in ambient air using artificial Neural‐networks

Forecasting nitrogen dioxide concentration in ambient air using artificial Neural‐networks

Artificial Neural‐networks is employed to predict the nitrogen dioxide concentration during November, 1997 to February, 1998 at three sites each representing industrial, commercial and residential activity respectively in Mumbai. The application of the Multilayer Recurrent network with back‐propagation learning algorithm is reported in the prediction at three sites using the meteorological variables at one site. The generalization ability of the model is confirmed by root mean square error and correlation between observed and predicted concentrations. The evaluation of model results shows that the degree of success in forecasting NO2 concentration is promising.

A. B. Chelani | A. Chelani | M. Z. Hasan

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