Time series support vector regression models with missing data treatments for water level prediction
Rise in water level is an important issue because it can be used as an indicator for flood alert. The water level of a river is dependent upon variables such as the month, volume of rainfall, temperature, relative humidity and surface wind. The main purpose of this research is to find a suitable met...
| मुख्य लेखक: | Ibrahim, Noraini |
|---|---|
| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
2014
|
| विषय: | |
| ऑनलाइन पहुंच: | http://eprints.utm.my/48022/25/NorainiIbrahimMFC2014.pdf |
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समान संसाधन
-
Time series support vector regression models with missing data treatments for water lavel prediction
द्वारा: Ibrahim, Noraini
प्रकाशित: (2014) -
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द्वारा: Chai, Chon Lung
प्रकाशित: (2006) -
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द्वारा: Zuriani, Mustaffa
प्रकाशित: (2014) -
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द्वारा: Maijama'a, Inusa Sani
प्रकाशित: (2023) -
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द्वारा: Tang, Weng Yin
प्रकाशित: (1994)