Abstract: A new wavelet neural network-based method of forecasting the cost incurred during the development phase of military equipments is proposed.The model of wavelet neural network is constructed and the algorithm implemented.Economical missile data of the American Army is used to do the forecast.It is shown that,compared with the results from traditional BP neural network,the average error rate is reduced by 1% and the convergence speed raised by 3 times.