Estimation of project costs based on fuzzy neural network

Common cost estimation 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. This research constructs a model of neural networks and fuzzy neural network model comparing with mature COCOMO II model, and concludes that fuzzy neural network in software cost estimation is superior to neural network model. It is a good estimation model. The experimental calculation 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.