A Hybrid Heat Rate Forecasting Model Using Optimized LSSVM Based on Improved GSA

标题
A Hybrid Heat Rate Forecasting Model Using Optimized LSSVM Based on Improved GSA
作者
关键词
Supercritical steam turbine, Heat rate, Least squares Support vector machines, Gravitational search algorithm , Optimization
出版物
NEURAL PROCESSING LETTERS
Volume 45, Issue 1, Pages 299-318
出版商
Springer Nature
发表日期
2016-04-30
DOI
10.1007/s11063-016-9523-0

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