WIT Press

Short-term Air Pollution Prediction On The Basis Of Artificial Neural Networks

Price

Free (open access)

Paper DOI

10.2495/AIR940611

Volume

3

Pages

8

Published

1994

Size

682 kb

Author(s)

P. Mlakar & M. Boznar

Abstract

Short-term air pollution prediction on the basis of artificial neural networks P. Mlakar, M. Boznar Jozef Stefan Institute, Jamova 39, SI-61000 Ljubljana, Slovenia ABSTRACT A modern method of short-term air pollution prediction based on artificial neural networks is described. After an initial overview of neural network performance, the features of the model are described. The method is applied to the complex orography around the coal fired Thermal Power Plant at Sostanj. The results are promising and we expect that neural network based prediction models will be widely used in the future. INTRODUCTION Artificial neural networks are mathematical structures that try to operate in the same manner as the human brain. They are capable of learning rules from the multitude of training samples that explain the behaviour of the observed non-linear dynamic system. After the learning process is completed, the neural netw

Keywords