Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6905422 | Applied Soft Computing | 2015 | 9 Pages |
Abstract
- Particle Swarm Optimization (PSO) is used to optimize the support vector machine (SVM).
- Models are trained on the data set obtained from experimental data.
- PSO-SVM with polynomial kernel function performs better than other kernel functions.
- Different soft computing models results are compared.
- PSO-SVM is computationally efficient as compared to ANFIS.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Narayana Harish, Sukomal Mandal, Subba Rao, S.G. Patil,