Abstract
The aim of this paper is to present environmental applications of a technique of neural network modelling, which demonstrates its usefulness in the simulation of real systems that are complex, time-changing and characterised by many feed-back processes, such as the atmospheric pollution environment.
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© 1996 Springer-Verlag Berlin Heidelberg
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Pasini, A., Potestà, S. (1996). Neural Network Modelling: Perspectives of Application for Monitoring and Forecasting Physical-Chemical Variables in the Boundary Layer. In: Allegrini, I., De Santis, F. (eds) Urban Air Pollution. NATO ASI Series, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-61120-9_26
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DOI: https://doi.org/10.1007/978-3-642-61120-9_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-64703-1
Online ISBN: 978-3-642-61120-9
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