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Neural Networks as a Method of Evaluating Residential Houses in Tvrdja, Eastern Croatia


Lončar-Vicković, Sanja; Koški, Željko; Varevac, Damir
Neural Networks as a Method of Evaluating Residential Houses in Tvrdja, Eastern Croatia // Proceedings of the 30th IAHS World Congress on Housing Construction : An Interdisciplinary Task / Ural, Oktay ; Abrantes, Viktor ; Tadeu, Antonio (ur.).
Coimbra, Portugal: Wide Dreams-Projectos Multimedia, Lda, 2002. str. 1283-1291 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Neural Networks as a Method of Evaluating Residential Houses in Tvrdja, Eastern Croatia

Autori
Lončar-Vicković, Sanja ; Koški, Željko ; Varevac, Damir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 30th IAHS World Congress on Housing Construction : An Interdisciplinary Task / Ural, Oktay ; Abrantes, Viktor ; Tadeu, Antonio - Coimbra, Portugal : Wide Dreams-Projectos Multimedia, Lda, 2002, 1283-1291

Skup
30th IAHS World Congress on Housing Construction : An Interdisciplinary Task

Mjesto i datum
Coimbra, Portugal, 09.-13.09.2002

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
baroque architecture; residential houses; present state evaluation; neural networks

Sažetak
Tvrdja is the baroque core of the city of Osijek, constructed as a fortress at the beginning of the 18th century. Its 106 edifices - originally built as residential houses and army barracks - form a unique example of fortification architecture in Croatia. As a result of a century long economic decline, several major population exoduses and serious war damages (1991-1992), a once dominant and prosperous part of the city became a decaying and run-down neighbourhood. Around 675 people live in Tvrdja today, most of them in extremely bad housing conditions. In this article, a neural network (an area in the field of artificial intelligence) is created in order to asses the present state of every building in Tvrdja. There are 22 input criteria (most important elements of the building as walls, windows, ceilings, floors, heating, sanitary conditions, installation) and one output criterium (general condition of the building) used to form the network, their marks ranging from 1 (very bad condition) to 5 (excellent condition). The result of the process, developed in three phases, is a neural network called NM 1 that defines the specific weight of every input criterium and its influence on the final house evaluation. The NM 1 network is also able to asses (predict) the general condition of any house given the values of its 22 input characteristics.

Izvorni jezik
Engleski

Znanstvena područja
Arhitektura i urbanizam, Ekonomija



POVEZANOST RADA


Projekt / tema
149110

Ustanove
Građevinski i arhitektonski fakultet Osijek

Citiraj ovu publikaciju

Lončar-Vicković, Sanja; Koški, Željko; Varevac, Damir
Neural Networks as a Method of Evaluating Residential Houses in Tvrdja, Eastern Croatia // Proceedings of the 30th IAHS World Congress on Housing Construction : An Interdisciplinary Task / Ural, Oktay ; Abrantes, Viktor ; Tadeu, Antonio (ur.).
Coimbra, Portugal: Wide Dreams-Projectos Multimedia, Lda, 2002. str. 1283-1291 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Lončar-Vicković, S., Koški, Ž. & Varevac, D. (2002) Neural Networks as a Method of Evaluating Residential Houses in Tvrdja, Eastern Croatia. U: Ural, O., Abrantes, V. & Tadeu, A. (ur.)Proceedings of the 30th IAHS World Congress on Housing Construction : An Interdisciplinary Task.
@article{article, year = {2002}, pages = {1283-1291}, keywords = {baroque architecture, residential houses, present state evaluation, neural networks}, title = {Neural Networks as a Method of Evaluating Residential Houses in Tvrdja, Eastern Croatia}, keyword = {baroque architecture, residential houses, present state evaluation, neural networks}, publisher = {Wide Dreams-Projectos Multimedia, Lda}, publisherplace = {Coimbra, Portugal} }