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Abstract:

An artificial neural network technique has been applied to the optimization of a hydride generation-inductively coupled plasma-atomic emission spectrometry (HG-ICP-AES) coupling for the determination of Ge at trace levels. The back propagation of errors net architecture was used. Experimental parameters and their relationship have been studied, obtaining a surface response of the system. The results and optimization aspects achieved with the neural network approach have been compared to the "one variable at time" and SIMPLEX methods.

Registro:

Documento: Artículo
Título:Optimization and Empirical Modeling of HG-ICP-AES Analytical Technique through Artificial Neural Networks
Autor:Magallanes, J.F.; Smichowski, P.; Marrero, J.
Filiación:Unidad de Actividad Química, Centro Atómico Constituyentes, Comisión Nacional de Energía Atómica, Av. del Libertador 8250, 1429 Buenos Aires, Argentina
Departamento de Química Inorgánica, Analítica y Quimicafísica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria de Nuñez, Pabelĺn 2, 1428 Buenos Aires, Argentina
Unidad de Actividad Geología, Centro Atómico Ezeiza, Comisión Nacional de Energía Atómica, Av. del Libertador 8250, 1429 Buenos Aires, Argentina
Palabras clave:article; Backpropagation; Computer software; Neural networks; Plasmas; Spectrometry; Flow rate; Chemical analysis
Año:2001
Volumen:41
Número:3
Página de inicio:824
Página de fin:829
DOI: http://dx.doi.org/10.1021/ci000337k
Título revista:Journal of Chemical Information and Computer Sciences
Título revista abreviado:J. Chem. Inf. Comput. Sci.
ISSN:00952338
CODEN:JCISD
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00952338_v41_n3_p824_Magallanes

Referencias:

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Citas:

---------- APA ----------
Magallanes, J.F., Smichowski, P. & Marrero, J. (2001) . Optimization and Empirical Modeling of HG-ICP-AES Analytical Technique through Artificial Neural Networks. Journal of Chemical Information and Computer Sciences, 41(3), 824-829.
http://dx.doi.org/10.1021/ci000337k
---------- CHICAGO ----------
Magallanes, J.F., Smichowski, P., Marrero, J. "Optimization and Empirical Modeling of HG-ICP-AES Analytical Technique through Artificial Neural Networks" . Journal of Chemical Information and Computer Sciences 41, no. 3 (2001) : 824-829.
http://dx.doi.org/10.1021/ci000337k
---------- MLA ----------
Magallanes, J.F., Smichowski, P., Marrero, J. "Optimization and Empirical Modeling of HG-ICP-AES Analytical Technique through Artificial Neural Networks" . Journal of Chemical Information and Computer Sciences, vol. 41, no. 3, 2001, pp. 824-829.
http://dx.doi.org/10.1021/ci000337k
---------- VANCOUVER ----------
Magallanes, J.F., Smichowski, P., Marrero, J. Optimization and Empirical Modeling of HG-ICP-AES Analytical Technique through Artificial Neural Networks. J. Chem. Inf. Comput. Sci. 2001;41(3):824-829.
http://dx.doi.org/10.1021/ci000337k