Artificial Neural Network Processing of Stripping Analysis Responses for Identifying and Quantifying Heavy Metals in the Presence of Intermetallic Compound Formation

Feed-forward neural networks have been trained to identify and quantify heavy metals in mixtures under conditions where there were significant complications due to intermetallic compound formation. The networks were shown to be capable of (i) correlating voltammetric responses with individual heavy...

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Veröffentlicht in:	Analytical chemistry (Washington) 1997-07, Vol.69 (13), p.2373-2378
Hauptverfasser:	Chan, Helen, Butler, Alexander, Falck, David M, Freund, Michael S
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical chemistry Chemistry Electrochemical methods Exact sciences and technology Metals Neural networks
Online-Zugang:	Volltext
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