Computer-based multi-source system

Meixiang Liu

doi:10.1117/12.2659589

28 October 2022 Computer-based multi-source system

Meixiang Liu

Proceedings Volume 12453, Third International Conference on Computer Communication and Network Security (CCNS 2022); 124530Q (2022) https://doi.org/10.1117/12.2659589
Event: Third International Conference on Computer Communication and Network Security (CCNS 2022), 2022, Hohhot, China

Abstract

Rough set theory is an efficient mathematical tool that can be used in real-life data compression, data correlation, similarity and difference. Through the induction and arrangement of attribute reduction, its general characteristics and characteristics are obtained, and they are used in the generalization mode of typical rough sets, thereby expanding its application field. However, rough sets have certain limitations, such as being sensitive to noise, so combining rough sets with other intelligent algorithms is a current research hotspot. Neural network is a complex network composed of a large number of interconnected neurons. This paper mainly introduces the method of combining rough set and neural network. Based on the properties of rough sets and neural networks, many methods to achieve an ensemble have been proposed. On this basis, a neural network model based on rough set technology is proposed.

Citation Download Citation

Meixiang Liu "Computer-based multi-source system", Proc. SPIE 12453, Third International Conference on Computer Communication and Network Security (CCNS 2022), 124530Q (28 October 2022); https://doi.org/10.1117/12.2659589

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