DocumentCode :
691602
Title :
Research on the Method of Warfare Simulation Data Analysis Based on BP Neural Network and RoughSet
Author :
Heng Jun ; Dong Yan-Hong ; Wang Jin-Shu ; Yan Peng
Author_Institution :
Navy Submarine Acad., Qingdao, China
fYear :
2013
fDate :
6-7 Nov. 2013
Firstpage :
531
Lastpage :
536
Abstract :
Preliminary exploration on simulation data mining with BP network and rough set method is made in advance.Then data mining method based on rough set theory and BP neural network is put up. Firstly, the redundant attributes in the decision-making table with rough set method is reduced, and the noise is filtered by BP neural network. Finally, rule set is generated by rough set from the reduction decision table. This method not only avoid the complexity of the rules extracted from training the neural network, but also improve the classification accuracy effectively. At last,the mining data by the experimental data of the troops marching warfare simulation system and the result with the actual reference value is obtained.
Keywords :
backpropagation; data mining; decision making; military computing; neural nets; rough set theory; BP neural network; classification accuracy; decision-making table; reduction decision table; rough set method; simulation data mining method; troops marching warfare simulation system; warfare simulation data analysis; Analytical models; Computational modeling; Data mining; Data models; Decision making; Meteorology; Neural networks; Agent retrieval; Information Visualization; Integrated retrieval; Ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Engineering Applications, 2013 Fourth International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4799-2791-3
Type :
conf
DOI :
10.1109/ISDEA.2013.526
Filename :
6843503
Link To Document :
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