Title of article
Least third-order cumulant method with adaptive regularization parameter selection for neural networks
Author/Authors
Leung، Chi-Tat نويسنده , , Chow، Tommy W.S. نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2001
Pages
-168
From page
169
To page
0
Abstract
The novel extractants, six diglycolamides synthesized in our laboratory, were investigated for actinide extraction from nitric acid into n-dodecane. The dependence of the distribution coefficients of Eu(lll) and Am(lll) on the length of alkyl chain in the extractants was examined. Among the diglycolamides studied, N,N,Nʹ,Nʹ-tetraoctyl-3-oxapentanediamide (TOOPDA) and N,N,Nʹ,Nʹ -tetradecyl-3-oxapentanediamide (TDOPDA) showed a sufficient solubility in n -dodecane, due to their appropriate lipophilicity modified by increasing the length of the alkyl chain attached to amidic N atoms. The distribution coefficients, DM, of actinides obtained by TOOPDA increased with an increase in HNO3 concentration. The number of diglycolamide molecules coordinated to the actinide ions was estimated to be three for Th(IV), U(VI), Pu(IV), and four for Am(III) and Cm(III) by slope analysis. The order of DM for the actinides at high nitric acid concentrations is An(III), An(IV) > An(VI) > An(V) and that for lanthanides, heavier > lighter. It is concluded that TOOPDA diluted in n-dodecane can extract both actinides and lanthanides completely from aqueous HNO3 solution.
Keywords
Third-order cumulant , NEURAL NETWORKS , regularization , Generalization capability
Journal title
ARTIFICIAL INTELLIGENCE (NON MEMBERS) (AI)
Serial Year
2001
Journal title
ARTIFICIAL INTELLIGENCE (NON MEMBERS) (AI)
Record number
48107
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