Combined model of GM (0, N) and neural network algorithm for civil aircraft cost estimation

Cost estimation is the key problem in production management of civil aircraft. Consider the cost information of similar products can not be easily gathered, a combination model of GM (0, N) model and BP neural network algorithm is proposed. The superiorities of simulation of BP neural network algorithm and poor information generating of GM (0, N) can be effectively combined. So the new algorithm of combination model is given out. The case of cost estimation of civil aircraft is used to test the validity of the proposed model. To compare with the traditional multiple linear regression model and simple GM (0, N) model, the results indicated that the proposed model can do the work better.