Data-Fusion Forecast Model of Missile Failure Time Based on Artificial Neural Network

Aiming at forecasting failure time of the missile more accurately, saving the manpower, money and material resources, a data-fusion forecast model based on artificial neural network was put forward. First, several single forecasting methods including grey model, time series model and so on were used. Then, all of the single forecast results were fused by artificial neural network. The model was calculated by using Matlab and the final result was get. Experimental results showed that the model achieved better forecast results compared with other forecast models.