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Information audit system based on Fuzzy neural networks

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成果类型:
期刊论文
作者:
Yu fei*;Zhang Linfeng;Liao Guiping;Shen Yue
通讯作者:
Yu fei
作者机构:
[Zhang Linfeng; Liao Guiping; Yu fei; Shen Yue] Hunan Agr Univ, Sch Comp & Informat Engn, Changsha 410128, Peoples R China.
[Yu fei] Comp Informat Proc Technol, Provincial Key Lab, Suzhou 2150063, Peoples R China.
通讯机构:
[Yu fei] H
Hunan Agr Univ, Sch Comp & Informat Engn, Changsha 410128, Peoples R China.
语种:
中文
关键词:
information audit;badness information;text character;Fuzzy neural network
期刊:
2006 Chinese Control Conference Proceedings, CCC 2006
年:
2007
页码:
1132-1136
机构署名:
本校为第一且通讯机构
院系归属:
信息科学技术学院
摘要:
At Intelligent Methods for information audit system is hot spot in the field of network security, and application of pattern recognition and data mining in information audit system is world widely concerned and worldwide studying. As an important method of pattern recognition, Fuzzy neural network has the capability of self-organization, self-learning and generalization. Application of Fuzzy neural network in information audit system can not only identify the known badness information, but als...

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