Symbolic regression via genetic programming in the optimization of a controlled release pharmaceutical formulation

Chemometrics and Intelligent Laboratory Systems

Volumn 107, Issue 1, 2011, Pages 75-82

  Barmpalexis, P ^a   Kachrimanis, K ^a   Tsakonas, A ^b   Georgarakis, E ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b UNIVERSITY OF THE AEGEAN   (Greece)

Author keywords

Artificial neural networks; Controlled release; Experimental design; Genetic programming; Optimization

Indexed keywords

HYDROXYPROPYLMETHYLCELLULOSE; MACROGOL 4000; NIMODIPINE; POVIDONE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED RELEASE FORMULATION; CONTROLLED STUDY; DRUG SOLUBILITY; GENETIC ALGORITHM; GENETIC PROGRAMMING; INTERMETHOD COMPARISON; MATRIX TABLET; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; REGRESSION ANALYSIS; SYMBOLIC REGRESSION; VALIDATION STUDY;

EID: 79955652907     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2011.01.012     Document Type: Article

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