The motive of this study is to apply Artificial neural network (ANN) for pre design cost estimation of building projects to investigate and overcome problems of cost estimation at initial stages of building construction. And develop & test a Graphical User Interface (GUI) model of cost estimating for reinforced concrete buildings in the early design phase. An ANN GUI model can help the designers in taking decisions about implementation of the project at the initial phases of the design process
Purpose – The purpose of this paper is to compare the performance of regression and artificial-neura...
Reasonably accurate cost estimation of the structural system is quite desirable at the early stages ...
This paper aims to develop an artificial neural network (ANN) to predict the energy consumption and ...
Cost is one of the major factors in decision making at the early stages of a building construction p...
The importance of decision making in cost estimation for building design processes points to a need ...
This thesis presents a neural network-based cost estimating method, developed for the generation of ...
Cost estimating is a critical due to incomplete project details and drawings and has become a simila...
SUMMARY: This paper presents a study on the use of artificial neural networks (ANNs) in preliminary ...
Annually there are many small-scale industry projects implemented in Iran, most of which are finance...
The aim of this study is to develop a system that could be described as Cost Expectancy Limit Model ...
Running costs of a building is a substantial share of its total life-cycle cost (LCC) and it ranges ...
Decision-making in construction design has an important role. The need for estimation tools of plann...
Cost estimation has its proven importance as one of essential factors for project success. The aim o...
Pre-tender estimates are susceptible to inaccuracies (biases) because they are often prepared within...
Cost estimation has its proven importance as one of essential factors for project success. The aim o...
Purpose – The purpose of this paper is to compare the performance of regression and artificial-neura...
Reasonably accurate cost estimation of the structural system is quite desirable at the early stages ...
This paper aims to develop an artificial neural network (ANN) to predict the energy consumption and ...
Cost is one of the major factors in decision making at the early stages of a building construction p...
The importance of decision making in cost estimation for building design processes points to a need ...
This thesis presents a neural network-based cost estimating method, developed for the generation of ...
Cost estimating is a critical due to incomplete project details and drawings and has become a simila...
SUMMARY: This paper presents a study on the use of artificial neural networks (ANNs) in preliminary ...
Annually there are many small-scale industry projects implemented in Iran, most of which are finance...
The aim of this study is to develop a system that could be described as Cost Expectancy Limit Model ...
Running costs of a building is a substantial share of its total life-cycle cost (LCC) and it ranges ...
Decision-making in construction design has an important role. The need for estimation tools of plann...
Cost estimation has its proven importance as one of essential factors for project success. The aim o...
Pre-tender estimates are susceptible to inaccuracies (biases) because they are often prepared within...
Cost estimation has its proven importance as one of essential factors for project success. The aim o...
Purpose – The purpose of this paper is to compare the performance of regression and artificial-neura...
Reasonably accurate cost estimation of the structural system is quite desirable at the early stages ...
This paper aims to develop an artificial neural network (ANN) to predict the energy consumption and ...