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The application of neural techniques to the modelling of time-series of atmospheric pollution data

The application of neural techniques to the modelling of time-series of atmospheric pollution data

Predicting atmospheric pollutant concentrations in both urban and industrial areas is of great significance for decision-making. This paper considers the possibility of using neural techniques to identify models for atmospheric pollutant prediction. It gives the results of short- and medium-range prediction of concentrations of 03, NMHC, N02 and NOx, which are typical of the photolytic cycle of nitrogen. The results obtained show that neural techniques have a good capacity for modelling the phenomena under investigation as compared with the traditionally used autoregressive prediction models. The possibility of using neuro-fuzzy networks also allows the features of neural networks to be combined with fuzzy logic, thus providing automatic extraction of rule bases in the usual ‘if … then…’ form; this represents a transparent form of modelling which provides useful indications for analysis of the phenomena in question or integration with already acquired knowledge.


G. Nunnari, A.F.M. Nucifora, C. Randieri

Ecological Modelling – 1 September 1998, Vol. 111, Issues 2-3, pp. 187-205, doi: 10.1016/SO304-3800(98)00118-5.


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Cristian Randieri

Cristian Randieri is a brilliant intelligent and great proactivity person and an effective communicator and visionary. He has built a strong (and deserved) reputation as someone with vision, diligence and honour. Cristian is not a simple engineer but he is a real Scientist. His knowledge is not restricted to the area it covers, but its impressive passion for all the technical topics led him to acquire great skills even in areas far from his original studies. Cristian is able to address and solve complex technical problems with excellent results. He is a valuable writer with great scientific background formed with more than 15 years of active research on experimental Nuclear Physics performed in the most famous international research laboratories such as CERN, ESRF, INF. He write about HI-Tech solutions topics and advanced research study applied to industry. With more than 150 scientific & technical publications, he is also, a technical and famous writer in Italy due to his interviews released to the most famous Industrial Italian magazines. Actually, he is the President & CEO of Intellisystem Technologies an Italian Research & Developments company committed to develop and sell innovative and advanced solutions.

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