Automated identification of novel amphetamines using a pure neural network and neural networks coupled with principal component analysis

Journal of Molecular Structure

Volumn 744-747, Issue SPEC. ISS., 2005, Pages 821-825

  Gosav, S ^a   Praisler, M ^a   Dorohoi, D O ^b   Popa, G ^b  

^a DUNAREA DE JOS UNIVERSITY OF GALATI   (Romania)

^b ALEXANDRU IOAN CUZA UNIVERSITY OF IASI   (Romania)

Author keywords

Amphetamines; Drugs of abuse; GC FTIR; Neural networks; Principal component analysis

Indexed keywords

ABSORPTION; EPIDEMIOLOGY; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; SPECTROSCOPIC ANALYSIS;

AMPHETAMINES; AUTOMATED IDENTIFICATION; PRINCIPAL COMPONENTS (PC); TRUE NEGATIVE (TN) RATE; TRUE POSITIVE (TP) RATE;

AMINES;

EID: 19344363195     PISSN: 00222860     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.molstruc.2004.11.049     Document Type: Conference Paper

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