Support vector regression based adaptive power system stabilizer
The main purpose of this paper is to compare performances of our proposed support vector machine (SVM) based power system stabilizer (PSS) with the conventional PSS, artificial neural networks (ANN) and radial basis function (RBF) networks in PSS applications. We train an application of the SVM, nam...
Saved in:
Main Authors: | Boonprasert U., Theera-Umpon N., Rakpenthai C. |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2014
|
Online Access: | http://www.scopus.com/inward/record.url?eid=2-s2.0-0037744928&partnerID=40&md5=4af62a675ff598ec38614f1854e369f2 http://cmuir.cmu.ac.th/handle/6653943832/1464 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Language: | English |
Similar Items
-
Power prediction in reverse link for mobile DS/CDMA systems using support vector regression
by: Suyaroj N., et al.
Published: (2014) -
Power prediction in reverse link for mobile DS/CDMA systems using support vector regression
by: Naret Suyaroj, et al.
Published: (2018) -
Runoff forecasting using fuzzy support vector regression
by: Wiriyarattanakul S., et al.
Published: (2014) -
Automatic Nevirapine concentration interpretation system using support vector regression
by: Auephanwiriyakul S., et al.
Published: (2014) -
Automatic Nevirapine concentration interpretation system using support vector regression
by: Auephanwiriyakul S., et al.
Published: (2014)