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Volumn 63, Issue 1, 2006, Pages 75-80
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Artificial neural networks in the modeling of drugs release profiles from hydrodynamically balanced systems
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Author keywords
Artificial neural networks; Crucial variables selection; Data mining; Hydrodynamically balanced systems; Predictive modeling
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Indexed keywords
HYDROXYPROPYLMETHYLCELLULOSE;
METHOLOSE;
UNCLASSIFIED DRUG;
DRUG DERIVATIVE;
EXCIPIENT;
METHYLCELLULOSE;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
DATA MINING;
DRUG FORMULATION;
DRUG RELEASE;
HYDRODYNAMICS;
MODEL;
SENSITIVITY ANALYSIS;
ALGORITHM;
CLUSTER ANALYSIS;
DRUG DELIVERY SYSTEM;
PHYSICAL CHEMISTRY;
ALGORITHMS;
CHEMISTRY, PHYSICAL;
CLUSTER ANALYSIS;
DRUG DELIVERY SYSTEMS;
EXCIPIENTS;
METHYLCELLULOSE;
NEURAL NETWORKS (COMPUTER);
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EID: 34547563244
PISSN: 00016837
EISSN: None
Source Type: Journal
DOI: None Document Type: Article |
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Times cited : (8)
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References (14)
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