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35. Creation of numerical constants in robust gene expression programmingIztok Fajfar, Tadej Tuma, 2018, izvirni znanstveni članek Ključne besede: genetic programming, gene expression programming, genetic algorithms, genotype/phenotype evolutionary algorithms, symbolic regression, constant creation, ephemeral random constants, numeric mutation, numeric crossover, digit-wise crossover Celotno besedilo (datoteka, 315,48 KB) Gradivo ima več datotek! Več... |
36. Evaluation system for the implementation of public passenger transport as a public service obligationJanez Blaž, Klemen Zajc, Samo Zupan, Miha Ambrož, 2019, izvirni znanstveni članek Ključne besede: public passenger transport, public service obligation, linear regression, optimization Celotno besedilo (datoteka, 3,80 MB) Gradivo ima več datotek! Več... |
37. Comprehensive electric arc furnace electric energy consumption modelingMiha Kovačič, Klemen Stopar, Robert Vertnik, Božidar Šarler, 2019, izvirni znanstveni članek Ključne besede: steelmaking, electric arc furnaces, consumption, electric energy, melting, refining, tapping, modeling, linear regression, genetic programming Celotno besedilo (datoteka, 1,43 MB) Gradivo ima več datotek! Več... |
38. Failure modes and life prediction model for high-speed bearings in a through-flow universal motorBlaž Benedik, Janez Rihtaršič, Janez Povh, Jože Tavčar, 2021, izvirni znanstveni članek Ključne besede: bearing life forecasting, bearing failure modes, through-flow universal motor, vacuum cleaner motor, grease deterioration, Weibull probability function, censored data, linear regression Celotno besedilo (datoteka, 4,75 MB) Gradivo ima več datotek! Več... |
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40. Machine learning-assisted non-destructive plasticizer identification and quantification in historical PVC objects based on IR spectroscopyTjaša Rijavec, David Ribar, Jernej Markelj, Matija Strlič, Irena Kralj Cigić, 2022 Ključne besede: PVC, chromatography, machine learning, classification, regression, spectroscopy, plasticizers, heritage science, preventive conservation Celotno besedilo (datoteka, 4,90 MB) Gradivo ima več datotek! Več... |