Author/Editor		Gašperlin, Mirjana
Title		Umetne nevronske mreže: izziv pri načrtovanju, oblikovanju in vrednotenju farmacevtskih oblik
Translated title		Artificial neural networks: a challenge in design, formulation and characterisation of pharmaceutical dosage forms
Type		članek
Source		Farm Vestn
Vol. and No.		Letnik 49, št. 4
Publication year		1998
Volume		str. 483-92
Language		slo
Abstract		Artificial neural networks (ANN) are relatively new mathematical tool that has not been broadly applied to pharmacy up to now. They were developed on the basis of attempts to simulate some of the neurological activity of human brain. The aim of the present paper is to give a detailed description of the ANN methodology and the scope of their application in pharmaceutical field ranging from clinical pharmacy, through biopharmacy, drug and dosage form design to interpretation of analytical data.
Summary		Umetne nevronske mreže so relativno novo matematično orodje in do nedavnega v farmaciji še niso bile široko razširjene. Razvite so bile na osnovi poskusov simuliranja nekaterih aktivnosti v človeških možganih. Namen sledečega članka je podroben opis metodologije nevronskih mrež in namen njihove uporabe na farmacevtskem področju, ki sega od klinične farmacije preko biofarmacije ter načrtovanja učinkovin in farmacevtskih oblik do interpretacije analitskih rezultatov.
Descriptors		NEURAL NETWORKS (COMPUTER) DRUG DESIGN ARTIFICIAL INTELLIGENCE ALGORITHMS