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

هندسة مدنية

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