Prediction of the radioactivity in Hazar Lake (Sivrice, Turkey) by artificial neural networks

This paper presents an Artificial Neural Network (ANN) model for determining the total radioactivity in Hazar Lake (Sivrice, Turkey). In order to cope with complex calculations and experiments required for the determination of total radioctivity. The proposed ANN system employs the individual traini...

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Bibliographic Details
Published in:Journal of radioanalytical and nuclear chemistry 2006-07, Vol.269 (1), p.63-68
Main Authors: Kulahci, F., Özer, A. B., Do?ru, M.
Format: Article
Language:English
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Summary:This paper presents an Artificial Neural Network (ANN) model for determining the total radioactivity in Hazar Lake (Sivrice, Turkey). In order to cope with complex calculations and experiments required for the determination of total radioctivity. The proposed ANN system employs the individual training strategy with fixed-weight and supervised models. The simulation demonstrate the feasibility of the neural based model. Compared to the classical methods, the proposed ANN-based model makes the processes much easier.
ISSN:0236-5731
1588-2780
DOI:10.1007/s10967-006-0230-6