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Primena modela veštačke neuronske mreže u poljoprivredi i industriji ulja
Application of artificial neural network model in agriculture and oil industry
dc.creator | Rajković, Dragana | |
dc.creator | Marjanović-Jeromela, Ana | |
dc.creator | Pezo, Lato | |
dc.creator | Kondić-Špika, Ankica | |
dc.date.accessioned | 2022-07-13T08:02:28Z | |
dc.date.available | 2022-07-13T08:02:28Z | |
dc.date.issued | 2022 | |
dc.identifier.isbn | 978-86-6253-154-4 | |
dc.identifier.uri | http://fiver.ifvcns.rs/handle/123456789/2867 | |
dc.description.abstract | Veštačka neuronska mreža (VNM) predstavlja matematički alat veštačke inteligencije, koju čini mreža međusobno povezanih neurona, koji poput mozga imaju sposobnost obrade podataka, učenja, i pamćenja. Model VNM pruža bolje predviđanje u odnosu na model višestruke linearne regresije. Modeli za mašinsko učenje su naročito primenljivi za proučavanje živih organizama kod kojih su prisutne kompleksne interakcije između promenljivih. Primena modela VNM je značajna za predviđanje prinosa i kvaliteta useva, odnosno sirovina u industriji ulja, klasifikaciju vrsta. | sr |
dc.description.abstract | Artificial neural network (ANN) is a mathematical tool in artificial intelligence, made up of interconnected neurons. Similar to brain, these neurons have the ability to process data, learn, and memorize. The ANN model provides better prediction compared to the multiple linear regression. Machine learning models are handy for studying living organisms in which complex interactions between variables exist. The application of the ANN model is important for predicting the yield and quality of crops, as well as of raw materials in the oil industry, for the classification of species. | sr |
dc.language.iso | sr | sr |
dc.publisher | Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet | sr |
dc.publisher | Novi Sad : Institut za ratarstvo i povrtarstvo | sr |
dc.publisher | Novi Sad : Industrijsko bilje | sr |
dc.relation | info:eu-repo/grantAgreement/MESTD/inst-2020/200032/RS// | sr |
dc.rights | openAccess | sr |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Zbornik radova, 63. Savetovanje proizvodnja i prerada uljarica, 26.6.-2.7.2022, Herceg Novi, Crna Gora | sr |
dc.subject | veštačke neuronske mreže | sr |
dc.subject | prinos | sr |
dc.subject | poljoprivreda | sr |
dc.subject | mašinsko učenje | sr |
dc.subject | veštačka inteligencija | sr |
dc.subject | artificial neural networks | sr |
dc.subject | yield | sr |
dc.subject | agriculture | sr |
dc.subject | machine learning | sr |
dc.subject | artificial intelligence | sr |
dc.title | Primena modela veštačke neuronske mreže u poljoprivredi i industriji ulja | sr |
dc.title | Application of artificial neural network model in agriculture and oil industry | sr |
dc.type | conferenceObject | sr |
dc.rights.license | BY | sr |
dc.citation.epage | 138 | |
dc.citation.spage | 133 | |
dc.identifier.fulltext | http://fiver.ifvcns.rs/bitstream/id/7997/bitstream_7997.pdf | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_fiver_2867 | |
dc.type.version | publishedVersion | sr |