Приказ основних података о документу
Neural computing in pharmaceutical products and process development
dc.creator | Đuriš, Jelena | |
dc.creator | Ibrić, Svetlana | |
dc.creator | Đurić, Zorica | |
dc.date.accessioned | 2019-09-02T11:37:08Z | |
dc.date.available | 2019-09-02T11:37:08Z | |
dc.date.issued | 2013 | |
dc.identifier.uri | https://farfar.pharmacy.bg.ac.rs/handle/123456789/2024 | |
dc.description.abstract | This 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.publisher | Elsevier Inc. | |
dc.rights | restrictedAccess | |
dc.source | Computer-Aided Applications in Pharmaceutical Technology | |
dc.subject | Artificial neural networks | en |
dc.subject | Decision trees | en |
dc.subject | Evolutionary computing and genetic algorithms | en |
dc.subject | Fuzzy logic | en |
dc.subject | Neural computing | en |
dc.subject | Self-organizing maps | en |
dc.title | Neural computing in pharmaceutical products and process development | en |
dc.type | bookPart | |
dc.rights.license | ARR | |
dcterms.abstract | Ђуриш, Јелена; Ђурић, Зорица; Ибрић, Светлана; | |
dc.citation.spage | 91 | |
dc.citation.epage | 175 | |
dc.citation.other | : 91-175 | |
dc.identifier.doi | 10.1016/B978-1-907568-27-5.50005-6 | |
dc.identifier.scopus | 2-s2.0-84904149719 | |
dc.type.version | publishedVersion |