HUMANN-based system to identify benzimidazole fungicides using multi-synchronous fluorescence spectra: An ensemble approach

Analytical and Bioanalytical Chemistry

Volumn 394, Issue 4, 2009, Pages 1059-1072

  Suárez Araujo, Carmen Paz ^a   García Báez, Patricio ^b   Sánchez Rodríguez, Álvaro ^a   Santana Rodríguez, José Juan ^a  

^a UNIVERSITY OF LAS PALMAS DE GRAN CANARIA   (Spain)

^b UNIVERSIDAD DE LA LAGUNA   (Spain)

Author keywords

Benzimidazole fungicides; Ensemble system; Environment; Fluorescence spectrometry; HUMANN; Unsupervised artificial neural network

Indexed keywords

BENZIMIDAZOLE FUNGICIDES; ENSEMBLE SYSTEM; ENVIRONMENT; FLUORESCENCE SPECTROMETRY; HUMANN; UNSUPERVISED ARTIFICIAL NEURAL NETWORK;

AGRICULTURAL CHEMICALS; BACKPROPAGATION; COMPUTATIONAL COMPLEXITY; FLUORESCENCE; FLUORESCENCE SPECTROSCOPY; INTELLIGENT SYSTEMS; NEURAL NETWORKS; NUCLEIC ACIDS; RNA; SPECTROMETERS; SPECTROMETRY;

FUNGICIDES;

BENZIMIDAZOLE; BENZIMIDAZOLE DERIVATIVE; FUNGICIDE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; METHODOLOGY; POLLUTANT; SPECTROFLUOROMETRY;

BENZIMIDAZOLES; COMPUTER SIMULATION; ENVIRONMENTAL POLLUTANTS; FUNGICIDES, INDUSTRIAL; NEURAL NETWORKS (COMPUTER); SPECTROMETRY, FLUORESCENCE;

EID: 67349156664     PISSN: 16182642     EISSN: 16182650     Source Type: Journal    
DOI: 10.1007/s00216-009-2654-7     Document Type: Article

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