Evaluation of calibration data in capillary electrophoresis using artificial neural networks to increase precision of analysis

Journal of Chromatography A

Volumn 979, Issue 1-2, 2002, Pages 59-67

  Polášková, Pavla ^a   Bocaz, Gaston ^a,b   Li, Hua ^a,c   Havel, Josef ^a,b  

^a MASARYK UNIVERSITY   (Czech Republic)

^b Ministry of Justice   (Chile)

^c NORTHWEST UNIVERSITY   (China)

Author keywords

Calibration; Least squares analysis; Memantine; Neural networks, artificial; Pharmaceutical analysis; Precision; Rimantadine; Rutin

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; CAPILLARY ELECTROPHORESIS; EVALUATION; METHODOLOGY; REPRODUCIBILITY; ACCURACY; ANALYTIC METHOD; CALCULATION; COMPUTER PROGRAM; CONFERENCE PAPER; DATA ANALYSIS; DEVICE; DRUG DETERMINATION; ERROR; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS;

CALIBRATION; ELECTROPHORESIS, CAPILLARY; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS;

BIOMARKERS; DATA REDUCTION; DRUG PRODUCTS; ELECTROPHORESIS; REGRESSION ANALYSIS;

LEAST SQUARES METHODS;

NEURAL NETWORKS;

ANAVENOL; ANTIVIRUS AGENT; ASCORUTIN; MEMANTINE; RIMANTADINE; RUTOSIDE; UNCLASSIFIED DRUG; WOBENZYM;

EID: 0037032657     PISSN: 00219673     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0021-9673(02)01250-5     Document Type: Article

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