Study On The New Method Of Construction Engineering Fast Investment Estimation

Construction project cost estimation includes investment estimates, design estimates, working drawings budget and cost during construction phases. for a long time, design estimates exceed investment estimates, budget exceed design estimates and final accounts exceed budget. this is due to ignore the preliminary stage of project investment control or not able to predict the cost effectively.therefore,how to search for a set of obiectiv,accurate, rapid and practical method has become an important issue.At present, on the content aspect of investment estimate research, they regard construction and installation project cost as a whole, without considering the characteristics of each unit works,this will bring large estimation risk.on the method aspect, modern technique is neural network, mainly the use of back-propagation (BP) network, it has the advantage of highly nonlinear, but due to defects of slow convergence and easy to fall into local minimum point, its usefulness is greatly limited, in addition, any kind of neural network requires a large amount of sample data for training, this means data collection will be a big challenge.Based on the background above,this paper studies on construction project cost estimation method during the feasibility sudy stage.in view of a large number of domestic and foreign relevant literatures,it divides construction and installation cost into civil engineering cost, decoration engineering cost and installation engineering cost, they use different index system and model respectively. in this article, it uses traditional and modern estimates as well as MatLAB programming language for reference ,furthermore, it combines statistical theory and introduces factor analysis , multiple linear regression method and SPSS statistical analysis software. Finally, it summarizes the entire method, and quotates a complete example analysis to verify the feasibility and accuracy of this method.