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Title of Journal: Soft Comput

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Abbravation: Soft Computing

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Springer-Verlag

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DOI

10.1007/bf01872402

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1433-7479

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An improved back propagation algorithm topredict e

Authors: G Nunnari
Publish Date: 2005/04/08
Volume: 10, Issue: 2, Pages: 132-139
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Abstract

This paper deals with the problem of modelling air pollution time series recorded at a given point by using a multilayer perceptron based approach In particular it is shown that the traditional back propagation BP algorithm widely considered in the literature for this kind of application can be improved to predict episodes of poor air quality A novel version of the BP algorithm is developed and its performance is compared with that of the traditional algorithm in a case study which refers to the modelling of 1 h average maximum daily ozone concentration recorded in the industrial area of Melilli Siracusa Italy The results obtained so far indicate that the proposed algorithm outperforms the traditional BP algorithm

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