Application of Composite Fuzzy Neural Network Theory in Construction Engineering Cost

Xinzheng Wang

Abstract


To estimate construction engineering cost rapidly and accurately is very important for construction enterprises. Traditional methods use construction quota to calculate building cost, which need too much manual labor and time but can’t satisfy the demand of enterprises. Because the cost of civil engineering in China need to controlled dynamic. In this paper, on the foundation of information of construction cost estimation, fuzzy mathematical method is utilized to deal with the factors which affect the construction engineering cost, neural network’s method is introduced, then the fuzzy neural network estimation model was put forward. An example shows that using the methods to estimate the cost of construction is convenient, quickly and accurately, and the model have high value in practice.


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Revista de la Facultad de Ingeniería,

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