Cost estimation of reinforced concrete structural systems by using artificial neural networks model

In this study, the cost of the reinforced concrete structural system of residential construction projects which have different variable parameters and architectural properties such as gross total floor area, gross ground floor area, gross floor area, total structural height, functional place number, gross total floor perimeter, foundation type, basement type has been estimated by using artificial neural networks model. The obtained results have been compared with the values that have been calculated by using statistical regression analysis method and the performance of the artificial neural networks model has been demonstrated. Key Words: Artificial Neural Networks, Regression Analysis, Reinforced Concrete Structural System, Cost Estimation