Research on Application of BP Networks in the Naval Minesweeping Effectiveness Estimating

The application of back propagation(BP) neural networks in the Naval Minesweeping Effectiveness Estimating (NMEE) was investigated by introducing the theory of BP artificial neural network (BPANN) and establishing a learning algorithm of forecasting for minesweeping effectiveness under a certain battle-field situation. A three-layer BP network was designed and a computer program was written based on the advanced BP algorithm using Matlab 6.0 language. The results were satisfying within an acceptable error margin after some sample data were normalized and learned by BPANN.