Приказ основних података о документу

dc.creatorĐuriš, Jelena
dc.creatorIbrić, Svetlana
dc.creatorĐurić, Zorica
dc.date.accessioned2019-09-02T11:37:08Z
dc.date.available2019-09-02T11:37:08Z
dc.date.issued2013
dc.identifier.urihttps://farfar.pharmacy.bg.ac.rs/handle/123456789/2024
dc.description.abstractThis chapter presents a review of the possible applications of methods based on neural computing in pharmaceutical products and process development. Some of the methods described are used for classification purposes, whereas others can be applied to modeling and optimization, or even induction of rules. Basic concepts of each method are theoretically described, followed by examples of their application in pharmaceutical technology. A theoretical background aims to provide a better understanding of the methods and is based upon their most important features. Examples should encourage the reader to embrace the above-mentioned methods and use them to complement conventional statistical methods for classification and regression.en
dc.publisherElsevier Inc.
dc.rightsrestrictedAccess
dc.sourceComputer-Aided Applications in Pharmaceutical Technology
dc.subjectArtificial neural networksen
dc.subjectDecision treesen
dc.subjectEvolutionary computing and genetic algorithmsen
dc.subjectFuzzy logicen
dc.subjectNeural computingen
dc.subjectSelf-organizing mapsen
dc.titleNeural computing in pharmaceutical products and process developmenten
dc.typebookPart
dc.rights.licenseARR
dcterms.abstractЂуриш, Јелена; Ђурић, Зорица; Ибрић, Светлана;
dc.citation.spage91
dc.citation.epage175
dc.citation.other: 91-175
dc.identifier.doi10.1016/B978-1-907568-27-5.50005-6
dc.identifier.scopus2-s2.0-84904149719
dc.type.versionpublishedVersion


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Приказ основних података о документу