Dissertation > Excellent graduate degree dissertation topics show

On Classification Method of Network Flow Based on Multi-core Support Vector Machine (SVM)

Author: TangYanLi
Tutor: GongYuZuo
School: Qingdao Technological University
Course: Computer technology
Keywords: Vector machine network distribution dynamic shunt autonomous learning
CLC: TP181
Type: Master's thesis
Year: 2013
Downloads: 6
Quote: 0
Read: Download Dissertation

Abstract


With the development of network technology and the network popularization, theamount of information on the network is more and more big, the classification ofnetwork traffic transfer, will reduce the pressure of the network transmission, increasethe speed of the network transmission. This article mainly research network trafficclassification method based on vector machine (SVM), the fundamental nature ofnetwork traffic classification is based on the packet length to classify.Previous way of classification of network traffic is assigned according to the staticport. Of this study is based on vector machine (SVM) classification of network, supportvector machine (SVM) classification is based on a statistical basis for classification is akind of dynamic classification method and support vector machine method has strongability of analysis and near capacity. Vector machine (SVM) is a research way of neuralnetwork, the application of this approach to classify network traffic has a very goodadvantage, so this way is more and more attention, this way has the ability of selflearning, has the very good intelligence and learning. This method can classify thenetwork data.Network traffic classification based on vector machine broke the traditional way ofstatic classification in port, the dynamic network traffic are classified, to ensure that thenetwork quality of service and network transmission speed, to improve the precision ofthe classification of network traffic.This paper analyzes the mixed together nuclear support vector machine (SVM)algorithm, etc. and attempts to ensure that the network quality of service, as well as thetransmission speed. This paper also analyzed the MKSVM the role of the Internet trafficclassifier, and the application of the interface and the result of data analysis, designedthe analysis system of vector machine test and the interface design of the whole system,the transplant and classification module are analyzed, and design the whole analysissystem, the network classification method based on vector machine carried on thethorough research.

Related Dissertations

  1. Research on Automatic Detection Algorithm for Substructure Distress of Highway Pavement Based on SVM,U418.6
  2. Research on Autamatic Music Structrue Analysis,TN912.3
  3. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  4. Fault Diagnosis Method Based on Support Vector Machine,TP18
  5. Process Support Vector Machine and Its Application to Satellite Thermal Equilibrium Temperature Prediction,TP183
  6. High School Biology Teaching the Cultivation of Students’ Autonomous Learning Ability,G633.91
  7. Autonomous Learning and High School Chinese (Cantonese Version) Modern and Contemporary Prose Teaching,G633.3
  8. Research for Infrared Image Target Identification and Tracking Technology,TP391.41
  9. Study on the Road Condition Monitoring Based on Vehicular 3D Acceleration Sensor,TP274
  10. Research of Diagnosing Cucumber Diseases Based on Hyperspectral Imaging,S436.421
  11. High School Students' Autonomous Listening Strategy Use Survey,G633.41
  12. Research on Whispered Speaker Identification in Channel Mismatch Conditions,TN912.34
  13. Scholar Resume Automatic Generation Based on Text Mining,TP391.1
  14. Research on Intrusion Detection Based on Feature Selection,TP393.08
  15. Research on Transmembrane Protein Prediction Based on SVM,Q51
  16. Research and Application of Gas Emission Prediction Based on LS-SVM,TD712.5
  17. Based on Support Vector Machine (SVM) Personal Credit Evaluation,TP18
  18. Paradigm Design and Algorithm Research for P300-based BCI,TP334.7
  19. Based on Information Fusion roads and obstacle detection method,TP242
  20. Research on Image Processing and Analyzing for Autonomous Navigation of Mobile Robot in Outdoor Environments,TP242
  21. Classification Algorithm Based on Logistic Regression and Support Vector Machine,TP301.6

CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory > Automated reasoning,machine learning
© 2012 www.DissertationTopic.Net  Mobile