Output details
11 - Computer Science and Informatics
Middlesex University
Return to search
Output 0 of 0 in the submission
Article title
Bandwidth Prediction based on Nu-Support Vector Regression and Parallel Hybrid Particle Swarm Optimization
Type
D - Journal article
Title of journal
International Journal of Computational Intelligence Systems
Article number
-
Volume number
3
Issue number
1
First page of article
70
ISSN of journal
1875-6883
Year of publication
2010
URL
-
Number of additional authors
-
Additional information
<24> This paper describes novel methods for multi-step-ahead bandwidth prediction. Variation of bandwidth is modelled as a Nu-Support Vector Regression (Nu-SVR) procedure. A parallel procedure is proposed to hybridize constant and binary Particle Swarm Optimization (PSO) together for optimizing feature selection and hyper-parameter selection. This achieves better accuracy of the prediction model than known approaches. The research results were used as a foundation for a successful funding submission to EU FP7 on communications for concurrent decision support applications.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
10
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
