Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Development of artificial neural network and multiple linear regression models in the prediction process of the hot mix asphalt properties (CROSBI ID 241272)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Androjić, Ivica ; Marović, Ivan Development of artificial neural network and multiple linear regression models in the prediction process of the hot mix asphalt properties // Canadian journal of civil engineering, 44 (2017), 12; 994-1004. doi: 10.1139/cjce-2017-0300

Podaci o odgovornosti

Androjić, Ivica ; Marović, Ivan

engleski

Development of artificial neural network and multiple linear regression models in the prediction process of the hot mix asphalt properties

The oscillation of asphalt mix composition on a daily basis significantly affects the achieved properties of the asphalt during production, thus resulting in conducting expensive laboratory tests to determine existing properties and predicting the future results. To decrease the amount of such tests, a development of artificial neural network and multiple linear regression models in the prediction process of predetermined dependent variables air void and soluble binder content is presented. The input data were obtained from a single laboratory and consists of testing 386 mixes of hot mix asphalt (HMA). It was found that it is possible and desirable to apply such models in the prediction process of the HMA properties. The final aim of the research was to compare results of the prediction models on an independent dataset and analyze them through the boundary conditions of technical regulations and the standard EN 13108-21.

hot mix asphalt ; artificial neural networks ; multiple linear regression ; prediction process

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o izdanju

44 (12)

2017.

994-1004

objavljeno

0315-1468

1208-6029

10.1139/cjce-2017-0300

Povezanost rada

Građevinarstvo, Temeljne tehničke znanosti, Projektni menadžment

Poveznice
Indeksiranost