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Raziskava metod strojnega učenja za napovedovanje zvočnega tlaka : zaključna naloga Univerzitetnega študijskega programa I. stopnje Strojništvo - Razvojno raziskovalni programAnko, Matej, inženir strojništvaVelike količine podatkov, ki se beležijo tekom proizvodnega procesa in končne kontrole nam omogočajo, da z uporabo metod strojnega učenja izdelamo model, ki napove vrednost meritve na končni kontroli ... še preden je bila ta izvedena. Raziskali smo vpliv masne neuravnoteženosti na amplitudo odziva in kako nastane hrup. Prikazali smo celoten proces izdelave modela z uporabo Python knjižnice Scikit-learn. Izdelali smo model za napoved amplitud zvočnega tlaka pri posameznih lastnih frekvencah in modele za napoved hitrosti vibracij ter jih ocenili.Type of material - undergraduate thesis ; adult, seriousPublication and manufacture - Ljubljana : [M. Anko], 2022Language - slovenianCOBISS.SI-ID - 121344003
Author
Anko, Matej, inženir strojništva
Other authors
Slavič, Janko, 1978-
Topics
diplomske naloge |
strojno učenje |
scikit-learn |
masno uravnoteževanje |
zvočni tlak |
vibracije |
thesis |
machine learning |
mass balancing |
sound pressure |
vibrations |
scikit-learn
Library | Call number – location, accession no. ... | Copy status |
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Faculty of Mechanical Engineering, Lj. | UN 1657 IN: 80001657 |
available - reading room |
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Anko, Matej, inženir strojništva | |
Slavič, Janko, 1978- | 23010 |
Source: Personal bibliographies
and: SICRIS
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