A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Forecasting Construction Costs of Multiple Reinforcement Concrete Residential Buildings With Artifical Neural Networks ; TOPLU KONUT İNŞAAT MALiYETLERİNİN YAPAY SİNİR AĞLARI İLE TAHMİNİ
In this paper, for forecasting costs of multiplet reinforced concrete residentialbuildings, which have been built by Association of Turkish Residential Building Cooperatives(TÜRKKONUT), with Artificial Neural Networks (ANN); cost of construction of this kind ofbuildings has been calculated and used as data for an ANN. This network has a multi layer andback propagation structure with adviser to learn. Normal flat areas, building elevations andtotal areas of outer surfaces were assumed as mean criteria of the cost of each apartment. Resultcost values which are calculated with ANN, has been checked with the Unit Price andRegression Analysis methods and evaluated the performance of ANN. It is comprehensiblethat the results of ANN are nearer than the results of Regression Analysis to the real costs ofthese buildings. Using hybrid methods for solving this kind of problems will be useful thanusing only one method. Studying with similar methods for calculating different kind ofbuildings costs, will create positive developments. ; Bu çalÍómada, Türkiye Konut YapÍ Kooperatifleri BirliÂi (TÜRKKONUT) tarafÍndan yaptÍ›Ílan konutlarÍn maliyetlerinin Yapay Sinir AÂlarÍ (YSA) ile tahmin edilmesi amaçlanmÍóÍr. Bu amaçla betonarme taóÍ¢ÍŒÍ sisteme haiz ve benzer nitelikteki çok katlÍ toplu konut projelerinin inóaat maliyetleri hesaplanmÍó ve mevcut verilerden yararlanÍlarak oluóturulan çok katmanlÍ, geri beslemeli, danÍómanlÍ öÂrenme özelliklerinde yapÍlandÍ›Ílan YSA’ya veri olarak girilmiótir. Bu yapÍlarÍn projelerinden hesaplanan; tip kat alanlarÍ, yapÍ yükseklikleri ve toplam dÍó cephe alanlarÍ, a mimarisinde ana deÂerlendirme kriterleri olarak alÍnmÍóÍr. AÂa hesaplatÍlan maliyet tahminleri, Birim Fiyat Yöntemi (BFY) ve Regresyon Analizi ile yapÍlan maliyet hesaplamalarÍ ile karóÍlaóÍ›ÍlmÍó ve uygulanan YSA yönteminin saÂladÍÂÍ performans deÂerlendirilmiótir. Oluóturulan YSA’dan saÂlanan veriler, Regresyon Analizi verilerine göre BFY ile bulunan maliyetlere daha yakÍn ve uygulanabilir sonuçlar saÂlamÍóÍr. Bu alandaki ...
Forecasting Construction Costs of Multiple Reinforcement Concrete Residential Buildings With Artifical Neural Networks ; TOPLU KONUT İNŞAAT MALiYETLERİNİN YAPAY SİNİR AĞLARI İLE TAHMİNİ
In this paper, for forecasting costs of multiplet reinforced concrete residentialbuildings, which have been built by Association of Turkish Residential Building Cooperatives(TÜRKKONUT), with Artificial Neural Networks (ANN); cost of construction of this kind ofbuildings has been calculated and used as data for an ANN. This network has a multi layer andback propagation structure with adviser to learn. Normal flat areas, building elevations andtotal areas of outer surfaces were assumed as mean criteria of the cost of each apartment. Resultcost values which are calculated with ANN, has been checked with the Unit Price andRegression Analysis methods and evaluated the performance of ANN. It is comprehensiblethat the results of ANN are nearer than the results of Regression Analysis to the real costs ofthese buildings. Using hybrid methods for solving this kind of problems will be useful thanusing only one method. Studying with similar methods for calculating different kind ofbuildings costs, will create positive developments. ; Bu çalÍómada, Türkiye Konut YapÍ Kooperatifleri BirliÂi (TÜRKKONUT) tarafÍndan yaptÍ›Ílan konutlarÍn maliyetlerinin Yapay Sinir AÂlarÍ (YSA) ile tahmin edilmesi amaçlanmÍóÍr. Bu amaçla betonarme taóÍ¢ÍŒÍ sisteme haiz ve benzer nitelikteki çok katlÍ toplu konut projelerinin inóaat maliyetleri hesaplanmÍó ve mevcut verilerden yararlanÍlarak oluóturulan çok katmanlÍ, geri beslemeli, danÍómanlÍ öÂrenme özelliklerinde yapÍlandÍ›Ílan YSA’ya veri olarak girilmiótir. Bu yapÍlarÍn projelerinden hesaplanan; tip kat alanlarÍ, yapÍ yükseklikleri ve toplam dÍó cephe alanlarÍ, a mimarisinde ana deÂerlendirme kriterleri olarak alÍnmÍóÍr. AÂa hesaplatÍlan maliyet tahminleri, Birim Fiyat Yöntemi (BFY) ve Regresyon Analizi ile yapÍlan maliyet hesaplamalarÍ ile karóÍlaóÍ›ÍlmÍó ve uygulanan YSA yönteminin saÂladÍÂÍ performans deÂerlendirilmiótir. Oluóturulan YSA’dan saÂlanan veriler, Regresyon Analizi verilerine göre BFY ile bulunan maliyetlere daha yakÍn ve uygulanabilir sonuçlar saÂlamÍóÍr. Bu alandaki ...
Forecasting Construction Costs of Multiple Reinforcement Concrete Residential Buildings With Artifical Neural Networks ; TOPLU KONUT İNŞAAT MALiYETLERİNİN YAPAY SİNİR AĞLARI İLE TAHMİNİ
DEMİREL, Yusuf (author)
2007-02-04
Selcuk University Journal of Engineering, Science and Technology; Vol 22, No 4 (2007): Journal of The Engineering and Architecture Faculty of Selcuk University; 53-60 ; Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi; Vol 22, No 4 (2007): Journal of The Engineering and Architecture Faculty of Selcuk University; 53-60 ; 2147-9364 ; 0000-0000
Article (Journal)
Electronic Resource
Turkish , English
DDC:
690