Model neuronske mreže za predviđanje ciljne kamatne stope državnih rezervi
Ekonomski Vjesnik, 2006 Cilj rada bio je kreirati model za predviđanje ciljne kamatne stope federalne banke SAD-a (FED) s pomoću neuronskih mreža. Model je temeljen na podacima o kretanju makroekonomskih varijabli SAD-a u razdoblju od 1959 do 2005. godine. Korišteno je dvanaest
Ivan Danko, Marijana Zekić-Sušac
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Konvolucijske neuronske mreže [PDF]
, 2018 U ovom diplomskom radu detaljno je obrađen model konvolucijskih neuronskih mreža. U prvom dijelu rada dan je uvod u klasične neuronske mreže, radi boljeg razumijevanja arhitekture i osnovnih pojmova dubokih modela.
Džomba, Kristina
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THE ROLE OF ARTIFICIAL NEURAL NETWORKS IN DETECTION OF PULMONARY FUNCTIONAL ABNORMALITIES [PDF]
, 2009 Umjetna neuronska mreža je sustav temeljen na radu biološke neuronske mreže, drugim riječima, ona predstavlja oponašanje biološke neuronske mreže. Cilj ovog rada je usporediti svojstva dviju različitih verzija neuronski mrežnih ART algoritama kao što su ...
Andrea KULAKOV +2 more
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The role of lipids in lysosome dysfunction and the pathogenesis of neurodegenerative diseases [PDF]
, 2010 Lizosomi su primarni katabolički odjeljci eukariotskih stanica. Za funkciju lizosoma neophodne su dvije skupine proteina: kisele hidrolaze i integralni lizosomalni membranski proteini.
Kveštak, Daria
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Primjena neuronske mreže za jednostavne sustave praćenja i prepoznavanja trošenja alata pri glodanju MDF ploča [PDF]
, 2011 This paper deals with simple neural network-based diagnostic system, applied to tool wear prediction in MDF milling. Ten tools were used for the test, and each one was consequently worn in the process of MDF milling.
Marcin Zbieć
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Application of Artificial Neural Networks to Multiple Criteria Inventory Classification [PDF]
, 2009 Inventory classification is a very important part of inventory control which represents the technique of operational research discipline. A systematicapproach to the inventory control and classification may have a significant influence on company ...
Goran ŠIMUNOVIĆ +2 more
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Modeliranje tlačne čvrstoće paralelno s vlakancima toplinski obrađenog drva škotskog bora (Pinus sylvestris L.) s pomoću umjetne neuronske mreže [PDF]
, 2015 In this study, the compressive strength of heat treated Scotch Pine was modeled using artificial neural network. The compressive strength (CS) value parallel to grain was determined after exposing the wood to heat treatment at temperature of 130, 145 ...
Fatih Yapıcı +3 more
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Strojno učenje u fizici čvrstog stanja i statističkoj fizici [PDF]
, 2018 In this work, we study an alternative approach to simulating molecular dynamics of large systems over long time periods; the one using machine learning instead of DFT. Studied system is a ruthenium surface which is interacting with hydrogen atoms. We use
Vrček, Lovro
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Development and realization of energy management system in process industry, Part II: Advanced functions [PDF]
, 2009 One of the specific functions of the energy management system is the prediction of energy consumption for the purpose of the timely reaction to and prevention of undesirable situations.
Jankovic, Veroslav +3 more
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Povećanje kvalitete rezultata površinske hrapavosti kod obrade slobodnih površina temeljem neuronskih mreža [PDF]
, 2010 This paper concerns with free form surface reorganization and assessment of free form model complexity, grouping particular surface geometrical properties within patch boundaries, using self organized Kohonen neural network (SOKN).
Janez Kopač +2 more
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