Use of artificial neural networks, aided by methods to reduce dimensions, to resolve overlapped electrochemical signals. A comparative study including other statistical methods

Mikrochimica Acta

Volumn 142, Issue 1-2, 2003, Pages 27-36

  Palacios Santander, J M ^a   Jimenez Jimenez A ^a   Cubillana Aguilera, L M ^a   Naranjo Rodriguez I ^a   Hidalgo Hidalgo de Cisneros, J L ^a  

^a UNIVERSITY OF CÁDIZ   (Spain)

Author keywords

Artificial neural networks; Differential pulse anodic stripping voltammetry; Fourier transform; Overlapped electrochemical signal processing; Wavelet transform

Indexed keywords

ANODIC STRIPPING POTENTIOMETRY; ARTICLE; ARTIFICIAL NEURAL NETWORK; ELECTROCHEMISTRY; FOURIER TRANSFORMATION; INTERMETHOD COMPARISON; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; STATISTICAL ANALYSIS;

EID: 0141425828     PISSN: 00263672     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00604-002-0958-9     Document Type: Article

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