Prediction research on the failure of steam turbine based on fruit fly optimization algorithm support vector regression

Advanced Materials Research

Volumn 614-615, Issue , 2013, Pages 409-413

  Shi, Zhibiao ^a   Miao, Ying ^a  

^a NORTHEAST ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Failure prediction; Fruit fly optimization algorithm; Steam turbine; Support vector regression

Indexed keywords

FAILURE PREDICTION; FRUIT FLIES; GLOBAL OPTIMAL SOLUTIONS; OPTIMIZATION ALGORITHMS; PARAMETER SELECTION; PREDICTION RESEARCH; RADIAL BASIS FUNCTION NEURAL NETWORKS; SUPPORT VECTOR REGRESSION (SVR);

ELECTRICAL ENGINEERING; FORECASTING; OPTIMIZATION; PARAMETER ESTIMATION; REGRESSION ANALYSIS; STEAM TURBINES; VECTORS;

ALGORITHMS;

EID: 84871814638     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.614-615.409     Document Type: Conference Paper

References (7)

1. Chao Zhang. He Bei: North China Electric Power University, 2009 (In Chinese).
2. Jinbo Lei. Shang Hai: Shanghai Jiao Tong University, 2008(In Chinese).
3. Vapnik V N. The Nature of Statistical Learning Theory [M]. New York, USA: Springer-Verlag, 1995.
4. QI Li, Cheng Shao. Journal of System Simulation, 2010, 52(1):01-03(In Chinese).
5. Wen-Tsao Pan. Knowledge-Based Systems, 2012, 26:69-74.
6. Wen-Tsao pan, Fruit Fly Optimization Algorithm [M]. TaiWan: Chang Hai publishing house, 2011 (In Chinese)
7. Jian Xiao, Long Yu. Journal of Southwest JiaoTong University, 2008, 43(6):297-302 (In Chinese).