Title :
Research on Application of BP Networks in the Naval Minesweeping Effectiveness Estimating
Author :
Meng Jing ; Li Qingmin ; Li Hua
Author_Institution :
Dept. of Weaponry Eng., Naval Univ. of Eng., Wuhan, China
Abstract :
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.
Keywords :
backpropagation; learning (artificial intelligence); mathematics computing; naval engineering computing; neural nets; weapons; Matlab 6.0 language; back propagation neural networks; battle field situation; forecasting; learning algorithm; naval minesweeping effectiveness estimation; Application software; Artificial neural networks; Biological neural networks; Brain modeling; Computer networks; Computer science; Information analysis; Mathematical model; Multi-layer neural network; Weapons; BP Algorithm; effectiveness; estimating; minesweeping; neural network;
Conference_Titel :
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3881-5
DOI :
10.1109/WCSE.2009.707
