Pm10 Concentrations Short Term Prediction Using Regression, Artificial Neural Network And Hybrid Models
Particulate matter has significant effect to human health when the concentration level of this substance exceeds Malaysia Ambient Air Quality Guidelines. This research focused on particulate matter with aerodynamic diameter less than 10 , namely PM10. Statistical modellings are required to predict f...
محفوظ في:
المؤلف الرئيسي: | Japeri, Ahmad Zia Ul-Saufie Mohamad |
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التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2013
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الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.usm.my/45032/1/Ahmad%20Zia%20Ul-Saufie%20Mohamad%20Japeri24.pdf |
الوسوم: |
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مواد مشابهة
-
PM10 Concentrations Short Term Prediction
Using Regression, Artificial Neural Network And Hybrid Models
بواسطة: Mohamad Japeri, Ahmad Zia Ul-Saufie
منشور في: (2013) -
Modeling And Prediction Of Pm10
Concentration During High Particulate
Events In Malaysia
بواسطة: Yusof, Noor Faizah Fitri Bt Md
منشور في: (2009) -
Modeling Locational Differences And
Prediction Of Temporal Concentration
Of Pm10 Using Time Series Analysis
بواسطة: Sansuddin, Nurulilyana
منشور في: (2010) -
Determination Of Coefficient For Pm10 Monitoring Using
An Optical Direct Reading Instrument And Beta Attenuation Monitor
بواسطة: Mohtar, Zul Azmi
منشور في: (2013) -
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بواسطة: Omranian, Seyed Reza
منشور في: (2013)