The Research Of Cost Estimating Method For Municipal Engineering

Following the rapid development of the national economy the urbanization process of our country accelerates unceasingly, and the scale of the contraction of urban basic facilities has been enlarged correspondingly. A large amount of fund is thrown into the contraction of municipal engineering, thus the estimation and controlling of the nunicipal engineering cost become the focus of the relavant department and personnel.The engineering cost estimation is the premise of the engineering cost control, also the foundation of feasibility investigation on engineering projects and the basis for tender price. Therefore the engineering cost estimation has turned into a first important problem to be sloved for an engineering construction. Although there are many methods to be used for engineering cost estimation, the methods applied to municipal engineering are limited on some traditional ones, such as the time sequence method, the cause and effect analysis method, the regression method, etc. In all these methods there exist some shortcomings unavoidably, and the low accuracy is the worst of all. For the sake of solving the problem by a new way, the author adopted three non-traditional methods named gray theory method, fuzzy mathematics method and RBF neural network method. On the basis of the work done in order to save computing time a new 'Gray neural network model' was put forward. In accordance with the work at the feasibility research stage of municipal projects, the engineering characteristics of municipal drainage and pavement projects were analyzed qualitatively and quantitatively. The main factors that affect the engineering cost were affirmed. Comparison among the four models mentioned above shows that the RBF neural network model and the gray neural network model are better than the rest ones.