Electromechanical equipment state forecasting based on genetic algorithm – support vector regression

► Electromechanical equipment state forecasting model is established by using genetic algorithm-support vector regression. ► Genetic algorithm is employed to choose the training parameters of support vector regression. ► Leave-one-out cross-validation(LOOCV) is adopted to evaluate the fitness of the...

Full description

Saved in:

Bibliographic Details
Published in:	Expert systems with applications Vol. 38; no. 7; pp. 8399 - 8402
Main Authors:	Huang, Ji, Bo, Yucheng, Wang, Huiyuan
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.07.2011
Subjects:	Electromechanical equipments Expert systems Forecasting Genetic algorithm Genetic algorithms Industrial smokes and gas turbine Mathematical analysis Mathematical models Prediction Regression State vectors Support vector machine Support vector machines Vectors (mathematics) Support vector machine Electromechanical equipments Genetic algorithm Industrial smokes and gas turbine Prediction
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!