This paper presents a preliminary study about the design of an intelligent on-line monitoring system to urban environment modeling and prediction. The area of interest is that of the small town of Villa San Giovanni, in Southern Italy, which experiences a very peculiar condition of practical as well as scientific appeal. NNs are used as a basis for modeling interactions among many variables in order to predict well in advance a strong pollution episode may take place. The NN model is supported by a fuzzy knowledge based system which is able to extract the underlying correlation among different types of variables. The fuzzy logic approach is also used to derive statement which may help local politicians to explain their planned actions in order to prevent acute pollution episodes.

A Fuzzy Neural Network for Urban Environment Monitoring System: the Villa San Giovanni study case

MARINO D.
;
MORABITO, Francesco Carlo
1999-01-01

Abstract

This paper presents a preliminary study about the design of an intelligent on-line monitoring system to urban environment modeling and prediction. The area of interest is that of the small town of Villa San Giovanni, in Southern Italy, which experiences a very peculiar condition of practical as well as scientific appeal. NNs are used as a basis for modeling interactions among many variables in order to predict well in advance a strong pollution episode may take place. The NN model is supported by a fuzzy knowledge based system which is able to extract the underlying correlation among different types of variables. The fuzzy logic approach is also used to derive statement which may help local politicians to explain their planned actions in order to prevent acute pollution episodes.
1999
1-85233-177-1
Wind Direction; Fuzzy Neural Network; Pollution Episode; Fuzzy Logic Approach; Underlying Correlation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/14738
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