Artificial neural network combined with principal component analysis for resolution of complex pharmaceutical formulations

Chemical and Pharmaceutical Bulletin

Volumn 59, Issue 1, 2011, Pages 35-40

  Ioele, Giuseppina ^a   De Luca, Michele ^a   Dinç, Erdal ^b   Oliverio, Filomena ^a   Ragno, Gaetano ^a  

^a UNIVERSITY OF CALABRIA   (Italy)

^b ANKARA UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Partial least square; Principal component analysis

Indexed keywords

CAFFEINE; MEPYRAMINE; PHENIRAMINE; PHENYLPROPANOLAMINE; TRIAMINIC;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMOMETRIC ANALYSIS; CONTROLLED STUDY; DRUG FORMULATION; ERROR; INSTRUMENTATION; LINEAR REGRESSION ANALYSIS; NOISE; PARTIAL LEAST SQUARES REGRESSION; PRINCIPAL COMPONENT ANALYSIS; ULTRAVIOLET SPECTROSCOPY; VALIDATION PROCESS;

CAFFEINE; CHEMISTRY, PHARMACEUTICAL; LEAST-SQUARES ANALYSIS; NEURAL NETWORKS (COMPUTER); PHARMACEUTICAL PREPARATIONS; PHENIRAMINE; PHENYLPROPANOLAMINE; PRINCIPAL COMPONENT ANALYSIS; PYRILAMINE; REGRESSION ANALYSIS;

EID: 78650807331     PISSN: 00092363     EISSN: 13475223     Source Type: Journal    
DOI: 10.1248/cpb.59.35     Document Type: Article

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