Historical Feature Pattern Extraction Based Network Attack Situation Sensing Algorithm
The situation sequence contains a series of complicated and multivariate random trends, which are very sudden, uncertain, and difficult to recognize and describe its principle by traditional algorithms. To solve the above questions, estimating parameters of super long situation sequence is essential...
Saved in:
Main Authors: | Yong Zeng, Dacheng Liu, Zhou Lei |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/473504 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Historical review and actual situation of metallurgy at Kosovo and Metohija
by: Nikolić Branislav, et al.
Published: (2005-01-01) -
Rough Set Neural Network Feature Extraction and Pattern Recognition of Shaft Orbits Based on the Zernike Moment
by: Xinfeng Ge, et al.
Published: (2021-01-01) -
Attention Feature Network Extraction Combined with the Generation Algorithm of Multimedia Image Description
by: Beibei Sun
Published: (2021-01-01) -
Improved Compressed Sensing Reconfiguration Algorithm with Shockwave Dynamic Compensation Features
by: Mingchi Ju, et al.
Published: (2022-01-01) -
WATER QUALITY FOR IRRIGATION: HISTORICAL AND CURRENT SITUATION OF THE COLORADO RIVER
by: Maria Luján Masseroni, et al.
Published: (2018-12-01)