Paper Information

Journal:   JOURNAL OF SCIENCES (ISLAMIC AZAD UNIVERSITY)   SUMMER 2006 , Volume 16 , Number 60 (CHEMISTRY ISSUE); Page(s) 32 To 39.
 
Paper: 

APPLICATION OF PRINCIPAL COMPONENT ANALYSIS- WAVELET TRANSFORM - NEURAL NETWORK FOR SIMULTANEOUS SPECTROPHOTOMETRIC DETERMINATION OF URANIUM AND THORIUM USING 4-(2-PYRIDYLAZO) RESORCINOL

 
 
Author(s):  NIAZI ALI, NOURI SHARGH D., SOLTANI KAVEH
 
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Abstract: 

A new application of principal component analysis- wavelet transform- artificial neural network (PC-WT-ANN) was proposed for the simultaneous determination of uranium and thorium. A simple spectrophotometric method for simultaneous determination of uranium and thorium based on formation of their complexes with 4- (2-pyridylazo) resorcinol (PAR) is described. Although the complexes of uranium and thorium with reagent show a spectral overlap, they have been simultaneously determined by PC-ANN and PC-WT-ANN. The results obtained by the two methods were compared and it was shown that in PC-WT-ANN, the convergence speed was faster and the root mean square error of prediction (RMSEP) was also smaller than PC-ANN. The results also show very good agreement between true and predicted concentration values and have the ability to use in routine analysis.

 
Keyword(s): PRINCIPAL COMPONENT ANALYSIS, WAVELET TRANSFORMS, NEURAL NETWORK, URANIUM, THORIUM
 
References: 
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