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...
| मुख्य लेखक: | Zuriani, Mustaffa |
|---|---|
| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी अंग्रेज़ी |
| प्रकाशित: |
2014
|
| विषय: | |
| ऑनलाइन पहुंच: | https://etd.uum.edu.my/4394/1/s93651.pdf https://etd.uum.edu.my/4394/2/s93651_abstract.pdf |
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समान संसाधन
-
Dengue Outbreak Prediction Using Least Squares Support Vector Machines (LS-SVM)
द्वारा: Zuriani, Mustaffa
प्रकाशित: (2010) -
New bio-inspired barnacle optimizers based least-square support vector machine for time-series prediction of pandemic outbreaks
द्वारा: Marzia, Ahmed
प्रकाशित: (2024) -
A public transport travel time prediction using least squares support vector machine
द्वारा: Sadat Zadeh, Seyed Mojtaba Tafaghod
प्रकाशित: (2013) -
Optimisation of support vector machine hyperparameters using enhanced artificial bee colony variant to diagnose breast cancer
द्वारा: Ravindran, Nadarajan
प्रकाशित: (2023) -
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द्वारा: Ismail, Shuhaida
प्रकाशित: (2011)