Evaluating Degree of Success in Power Plant Construction Project Based on Fuzzy Neural Network

Using fuzzy neural network to evaluate the degree of success in power plant is this paper´s innovative points. First we give an index system, and then use the relative membership degree processing the date, which as the input sample of neural network. Then use PSO algorithm optimizes the BP neural network algorithm. Use this improved BP neural network to evaluate. It is more accuracy and speedily than BP neural network algorithm. Lastly, we can get a satisfaction result. This can be guiding the project construction.