Research On Building Cost Estimation Based On The ANFIS

The whole life cycle cost management is a trend in the future,the key to the dynamic project cost management is to control each stage cost of construction project,which contains investment estimate,design estimate,construction drawing budget and settlement,to prevent design estimates exceed investment estimates,budget exceed design estimates and final accounts exceed budget.Therefore,the construction cost prediction is important in the feedforward management.This dissertation aims to study a fast,accurate,convenient,and authentic model to predict project cost,which can provide the basis for the whole life cycle cost management.Currently,there are some problems in China's project cost prediction.In terms of technology,first,the existing models fail to express the nonlinear relationship between construction characteristics and project cost,the result is lack of persuasion;second,the existing intelligent control theory and method in the field of project cost prediction is less.in terms of management,one is in the era of big data,construction cost data collection system is not perfect,construction classification standards have not been fully extended,resulting the massive construction cost data is difficult to data mining and analysis;second is construction project involving a number of professional projects,and the project cost has many influence factors,a construction project cost index system is required.Therefore,through a large number of literature review,and study the project cost management and forecasting methods from home and abroad,this dissertation is on the results of previous studies,in order to sort out a set of complete classification standards for construction projects.Build an index system of construction cost.Build a building project cost prediction model by ANFIS.Through empirical study,the model is proved to have the advantages of convenient operation,fast and accurate results.It shows that this method is feasible,and provides an efficient and reasonable method for the future construction cost prediction in China.