Sustained modelling ability of artificial neural networks in the analysis of two pharmaceuticals (dextropropoxyphene and dipyrone) present in unequal concentrations

Analytical and Bioanalytical Chemistry

Volumn 376, Issue 6, 2003, Pages 838-843

  Cámara, María S ^a   Ferroni, Félix M ^a   De Zan, Mercedes ^a   Goicoechea, Héctor C ^a  

^a UNIVERSIDAD NACIONAL DEL LITORAL   (Argentina)

Author keywords

Artificial neural networks; Dextropropoxyphene; Dipyrone; Non linearities; Simultaneous determination

Indexed keywords

AROMATIC COMPOUNDS; DRUG PRODUCTS; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; INFRARED SPECTROSCOPY; LINEAR SYSTEMS; ULTRAVIOLET SPECTROSCOPY;

DEXTROPROPOXYPHENE; DIPYRONE; NON-LINEARITIES; SIMULTANEOUS DETERMINATION;

NEURAL NETWORKS;

ANTITUSSIVE AGENT; DEXTROPROPOXYPHENE; DIPYRONE; DRUG; NONSTEROID ANTIINFLAMMATORY AGENT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; ELECTROCHEMISTRY; NONLINEAR SYSTEM;

ANTI-INFLAMMATORY AGENTS, NON-STEROIDAL; ANTITUSSIVE AGENTS; COMPUTER SIMULATION; DIPYRONE; ELECTROCHEMISTRY; MOLECULAR STRUCTURE; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PHARMACEUTICAL PREPARATIONS; PROPOXYPHENE;

EID: 21144443657     PISSN: 16182642     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00216-003-1977-z     Document Type: Article

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