Estimation of recycling capacity using ANN and SVM

Autor: Aleksandra Vujkov, Dragana Bibić, Igor Peško, Vladimir Mučenski, Jasmina Dražić, Milan Trivunić
Jazyk: English<br />Croatian
Rok vydání: 2018
Předmět:
Zdroj: Građevinar, Vol 70, Iss 09., Pp 783-792 (2018)
Druh dokumentu: article
ISSN: 0350-2465
1333-9095
DOI: 10.14256/JCE.2273.2017
Popis: This paper presents estimation of the quantity of concrete and reinforcement that can be recycled for residential buildings constructed as skeleton structures. Models based on artificial intelligence, involving the use of Artificial Neural Networks (ANNs) and the Support Vector Machines (SVM) methods, were formed in order to estimate quantities of these materials. The results show that the application of ANNs and SVM methods is a good solution for the estimation of recycling capacity. The mean absolute percentage error (MAPE) for the selected ANNs for predicting quantity of concrete and reinforcement is 8.74 % and 12.58 %, respectively.
Databáze: Directory of Open Access Journals