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Variation-Oriented Data Filtering for Improvement in Model Complexity of Air Pollutant Prediction Model
المؤلفون المشاركون
Wong, Pak-kin
Ip, Weng-Fai
Vong, Chi Man
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-04-09
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Accurate prediction models for air pollutants are crucial for forecast and health alarm to local inhabitants.
In recent literature, discrete wavelet transform (DWT) was employed to decompose a series of air pollutant levels, followed by modeling using support vector machine (SVM).
This combination of DWT and SVM was reported to produce a more accurate prediction model for air pollutants by investigating different levels of frequency bands.
However, DWT has a significant demand in model complexity, namely, the training time and the model size of the prediction model.
In this paper, a new method called variation-oriented filtering (VF) is proposed to remove the data with low variation, which can be considered as noise to a prediction model.
By VF, the noise and the size of the series of air pollutant levels can be reduced simultaneously and hence so are the training time and model size.
The SO2 (sulfur dioxide) level in Macau was selected as a test case.
Experimental results show that VF can effectively and efficiently reduce the model complexity with improvement in predictive accuracy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Vong, Chi Man& Ip, Weng-Fai& Wong, Pak-kin. 2014. Variation-Oriented Data Filtering for Improvement in Model Complexity of Air Pollutant Prediction Model. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-462456
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Vong, Chi Man…[et al.]. Variation-Oriented Data Filtering for Improvement in Model Complexity of Air Pollutant Prediction Model. Mathematical Problems in Engineering No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-462456
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Vong, Chi Man& Ip, Weng-Fai& Wong, Pak-kin. Variation-Oriented Data Filtering for Improvement in Model Complexity of Air Pollutant Prediction Model. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-462456
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-462456
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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