Estimation Of Project Costs Based On Fuzzy Neural Network Of Real Estate Software

With the accelerated economic development and urbanization,the volume of business of property management is increasing rapidly.The state has promulgated a series of real estate management act in recent years,but traditional property management approach has failed to meet the growing demand of the community in management and service,such as individuals,businesses and government departments.The situation urgently requires the property management department for industry information construction to improve the management level.In order to better management and services,the research and development of real estate management information system is imminent.The cost estimation of software project is an important part of the project cost management as a starting point,and it is the basis and foundation for cost control and other cost management processes.Currently,there are many cost estimation methods,but no single one can be adapted to all software projects.Common methods focus on subjective experience, but fuzzy Neural Network Technology makes relatively accurate estimates because it collects the respective advantages of the fuzzy theory and neural networks. Using exploration point of view and combined with the actual needs,it builds a software cost estimation model based on fuzzy neural network built,and be used to real estate information management estimating system.This paper first describes the background,purpose,significance of software project management and cost estimation, and makes a summarized to research status,finally,it relates to the basic theory involved in the fuzzy theory,neural network and real estate information management described in detail.It constructs a model of neural networks and fuzzy neural network model comparing with mature COCOMOⅡmodel,and concludes that fuzzy neural network in software cost estimation is superior to neural network model,meanwhile,it builds a good estimation model.It shows that the software cost estimation model constructed by fuzzy neural networks combines multiple advantages.It can be used for real estate information management system quickly and efficiently,and provides a basis for the development and maintenance of similar projects in the future.