Forecasting automotive waste generation using short data sets: case study of Lithuania
Електронний науковий архів Науково-технічної бібліотеки Національного університету "Львівська політехніка"
Переглянути архів Інформація| Поле | Співвідношення | |
| Title |
Forecasting automotive waste generation using short data sets: case study of Lithuania
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| Creator |
Karpušenkaitė, Aistė
Ruzgas, Tomas Denafas, Gintaras |
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| Contributor |
Department of Environmental Technology, Kaunas University of Technology
Faculty of Mathematics and Natural Science, Kaunas University of Technology |
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| Subject |
automotive waste
hazardous car smoothing splines nonparametric regression |
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| Description |
There were 1.83 million cars and average passenger car age was 18 years in Lithuania in 2013. Increasing number of cars has an insignificant effect on car age change but it is contrary to automotive waste, both hazardous and non-hazardous, that accumulates during vehicle exploitation and after it ends. The aim of this study was to assess different mathematical modelling methods abilities to forecast non-hazardous and hazardous automotive waste generation. Artificial neural networks, multiple linear regression, partial least squares, support vector machines, nonparametric regression and time series methods were used in this research. Results revealed that nearly perfect theoretical results in both cases can be reached by smoothing splines and other nonparametric regression methods. It is very doubtful that results would be so precise using data outside of currently used data set range and due to this reason further testing using 2014–2015 data is needed. |
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| Date |
2018-02-14T09:14:04Z
2018-02-14T09:14:04Z 2017 |
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| Type |
Article
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| Identifier |
Forecasting automotive waste generation using short data sets: case study of Lithuania / Aistė Karpušenkaitė, Tomas Ruzgas, Gintaras Denafas // Environmental Problems. – 2017. – Volume 1, number 2. – P. 11–18. – Bibliography: 20 titles.
http://ena.lp.edu.ua:8080/handle/ntb/39432 |
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| Relation |
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| Rights |
© Karpušenkaitė A., Ruzgas T., Denafas G., 2016
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| Format |
11-18
application/pdf |
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| Coverage |
UA
Львів |
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| Publisher |
Publishing House of Lviv Polytechnic National University
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