Deep Belief Network Integrating Improved Kernel-Based Extreme Learning Machine for Network Intrusion Detection
Deep learning has become a research hotspot in the field of network intrusion detection. In order to further improve the detection accuracy and performance, we proposed an intrusion detection model based on improved deep belief network (DBN). Traditional neural network training methods, like Back Pr...
Main Authors: | Zhendong Wang, Yong Zeng, Yaodi Liu, Dahai Li |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9319853/ |
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