%0 Journal Article
%T Neural Network on Photodegradation of Octylphenol using Natural and Artificial UV Radiation
%A Dana - Melania POPA
%A Leti£¿ia OPREAN
%A Lorentz J£¿NTSCHI
%J Applied Medical Informatics
%D 2011
%I SRIMA Publishing House
%X The present paper comes up with an experimental design meant to point out the factors interferingin octylphenol¡¯s degradation in surface waters under solar radiation, underlining each factor¡¯sinfluence on the process observable (concentration of p-octylphenol). Multiple linear regressionanalysis and artificial neural network (Multi-Layer Perceptron type) were applied in order to obtaina mathematical model capable to explain the action of UV-light upon synthetic solutions of OP inultra-pure water (MilliQ type). Neural network proves to be the most efficient method in predictingthe evolution of OP concentration during photodegradation process. Thus, determination in neuralnetwork¡¯s case has almost double value versus the regression analysis.
%K Octylphenol
%K Photodegradation
%K Regression analysis
%K Backward stepwise method
%U http://ami.info.umfcluj.ro/index.php/AMI/article/view/347/pdf