Title: Research on the Method of Warfare Simulation Data Analysis Based on BP Neural Network and RoughSet
Abstract: Preliminary exploration on simulation data mining with BP network and rough set method is made in the paper. Data mining method based on rough set theory and BP neural network is put up. Firstly, we reduce the redundant attributes in the decision-making table with rough set method, and then 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 avoids the complexity of the rules extracted from training the neural network, but also improves 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.
Publication Year: 2013
Publication Date: 2013-09-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 1
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