Primena veštačkih neuronskih mreža za matematičko modelovanje uticaja sastava i uslova proizvodnje na svojstva PVC podnih obloga
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Abstract
Mogućnost primene polivinilhloridnih (PVC) podnih obloga je određena krajnjim svojstvima koja zavise od sastava obloge i načina proizvodnje. Zbog složenog sastava i različitih načina pripreme PVC podnih obloga, veoma je teško tačno proceniti uticaj pojedinačnog procesnog parametara na svojstva dobijenog proizvoda. U ovom radu, proučavan je efekat različitih procesnih parametara (sastav PVC smeše, temperature i vremena ekspanzije), na mehanička svojstva PVC podnih obloga. Uticaj različitih ulaznih promenljivih na mehanička svojstva je uspešno određen primenom veštačkih neuronskih mreža sa optimizovanim brojem skrivenih neurona. Garson i Yoon modeli su primenjeni za izračunavanje i opisivanje doprinosa procesnih parametara u veštačkoj neuronskoj mreži.
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