Comparisons of GM (1,1), and BPNN for predicting hourly particulate matter in Dali area of Taichung City, Taiwan
Open Access
- 1 July 2015
- journal article
- Published by Elsevier BV in Atmospheric Pollution Research
- Vol. 6 (4), 572-580
- https://doi.org/10.5094/apr.2015.064
Abstract
No abstract availableKeywords
Funding Information
- The Ministry of Science and Technology of R.O.C. (103–2621–M–142 –001)
This publication has 26 references indexed in Scilit:
- Predicting effluent from the wastewater treatment plant of industrial park based on fuzzy network and influent qualityApplied Mathematical Modelling, 2011
- Improving neural network prediction of effluent from biological wastewater treatment plant of industrial park using fuzzy learning approachBioprocess and Biosystems Engineering, 2009
- Evaluating impact level of different factors in environmental impact assessment for incinerator plants using GM (1, N) modelWaste Management, 2008
- A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, ChileAtmospheric Environment, 2008
- Predicting performance of grey and neural network in industrial effluent using online monitoring parametersProcess Biochemistry, 2008
- Comparisons of grey and neural network prediction of industrial park wastewater effluent using influent quality and online monitoring parametersEnvironmental Monitoring and Assessment, 2008
- PM10 forecasting for Thessaloniki, GreeceEnvironmental Modelling & Software, 2006
- Application of an ISCST3 model for predicting urban air pollution in the Izmir metropolitan areaInternational Journal of Environment and Pollution, 2002
- Prediction of PM2.5 concentrations several hours in advance using neural networks in Santiago, ChileAtmospheric Environment, 2000
- What Do Epidemiologic Findings Tell Us about Health Effects of Environmental Aerosols?Journal of Aerosol Medicine, 2000