Parameters Optimization and Application to Glutamate Fermentation Model Using SVM
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-01
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Aimed at the parameters optimization in support vector machine (SVM) for glutamate fermentation modelling, a new method is developed.
It optimizes the SVM parameters via an improved particle swarm optimization (IPSO) algorithm which has better global searching ability.
The algorithm includes detecting and handling the local convergence and exhibits strong ability to avoid being trapped in local minima.
The material step of the method was shown.
Simulation experiments demonstrate the effectiveness of the proposed algorithm.
American Psychological Association (APA)
Zhang, Xiangsheng& Pan, Feng. 2015. Parameters Optimization and Application to Glutamate Fermentation Model Using SVM. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1073513
Modern Language Association (MLA)
Zhang, Xiangsheng& Pan, Feng. Parameters Optimization and Application to Glutamate Fermentation Model Using SVM. Mathematical Problems in Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1073513
American Medical Association (AMA)
Zhang, Xiangsheng& Pan, Feng. Parameters Optimization and Application to Glutamate Fermentation Model Using SVM. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1073513
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073513