Estimation of recycling capacity using ANN and SVM

Estimation of recycling capacity using ANN and SVM

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) method...

Full description

Bibliographic Details
Main Authors: Aleksandra Vujkov, Dragana Bibić, Igor Peško, Vladimir Mučenski, Jasmina Dražić, Milan Trivunić
Format: Article
Language:English
Published: Croatian Association of Civil Engineers 2018-10-01
Series:Građevinar
Online Access:https://doi.org/10.14256/JCE.2273.2017
id doaj-b51f8603e42746258c1fc133c1bb43fb
record_format Article
spelling doaj-b51f8603e42746258c1fc133c1bb43fb2020-11-25T00:52:24ZengCroatian Association of Civil EngineersGrađevinar0350-24651333-90952018-10-017009.78379210.14256/JCE.2273.2017207200Estimation of recycling capacity using ANN and SVMAleksandra VujkovDragana BibićIgor PeškoVladimir MučenskiJasmina DražićMilan TrivunićThis 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.https://doi.org/10.14256/JCE.2273.2017
collection DOAJ
language English
format Article
sources DOAJ
author Aleksandra Vujkov
Dragana Bibić
Igor Peško
Vladimir Mučenski
Jasmina Dražić
Milan Trivunić
spellingShingle Aleksandra Vujkov
Dragana Bibić
Igor Peško
Vladimir Mučenski
Jasmina Dražić
Milan Trivunić
Estimation of recycling capacity using ANN and SVM
Građevinar
author_facet Aleksandra Vujkov
Dragana Bibić
Igor Peško
Vladimir Mučenski
Jasmina Dražić
Milan Trivunić
author_sort Aleksandra Vujkov
title Estimation of recycling capacity using ANN and SVM
title_short Estimation of recycling capacity using ANN and SVM
title_full Estimation of recycling capacity using ANN and SVM
title_fullStr Estimation of recycling capacity using ANN and SVM
title_full_unstemmed Estimation of recycling capacity using ANN and SVM
title_sort estimation of recycling capacity using ann and svm
publisher Croatian Association of Civil Engineers
series Građevinar
issn 0350-2465
1333-9095
publishDate 2018-10-01
description 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.
url https://doi.org/10.14256/JCE.2273.2017
work_keys_str_mv AT aleksandravujkov estimationofrecyclingcapacityusingannandsvm
AT draganabibic estimationofrecyclingcapacityusingannandsvm
AT igorpesko estimationofrecyclingcapacityusingannandsvm
AT vladimirmucenski estimationofrecyclingcapacityusingannandsvm
AT jasminadrazic estimationofrecyclingcapacityusingannandsvm
AT milantrivunic estimationofrecyclingcapacityusingannandsvm
_version_ 1725242496185794560

Similar Items