Enhanced artificial bee colony-least squares support vector machines algorithm for time series prediction
Over the past decades, the Least Squares Support Vector Machines (LSSVM) has been widely utilized in prediction task of various application domains. Nevertheless, existing literature showed that the capability of LSSVM is highly dependent on the value of its hyper-parameters, namely regularization p...
Saved in:
主要作者: | Zuriani, Mustaffa |
---|---|
格式: | Thesis |
語言: | English English |
出版: |
2014
|
主題: | |
在線閱讀: | https://etd.uum.edu.my/4394/1/s93651.pdf https://etd.uum.edu.my/4394/2/s93651_abstract.pdf https://etd.uum.edu.my/4394/ |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
A hybridization of enhanced artificial bee colony-least squares support vector machines for price forecasting
由: Mustaffa, Zuriani, et al.
出版: (2012) -
Enhanced artificial bee colony for training least squares support vector machines in commodity price forecasting
由: Mustaffa, Zuriani, et al.
出版: (2014) -
An enhanced artificial bee colony optimizer for predictive analysis of heating oil prices using least squares support vector machines
由: Mustaffa, Zuriani, et al.
出版: (2014) -
A review on optimization of least squares support vector machine for time series forecasting
由: Yusof, Yuhanis, et al.
出版: (2016) -
Application of a hybrid of least square support vector machine and artificial bee colony for building load forecasting
由: Mat Daut, M. A., et al.
出版: (2016)