Application of Variance Weight Prediction Model in the Output Prediction of Urban Living Rubbish

Yan Li; Guang Fan Li; Fei Zhao

doi:10.4028/www.scientific.net/AMM.587-589.508

Paper Titles

The Determination and Analysis of Volatile Organic Compounds in Public Buildings
p.484

The Impact of Gymnasium Form’s Tilting Side Interfaces on Natural Ventilation and Thermal Comfort of Exercise Site
p.490

Application of Imitated Ecosystems in Urban Waterlogging Prevention
p.501

The Research to "Adapt to the Disasters" in the Traditional Architecture and Town
p.505

Application of Variance Weight Prediction Model in the Output Prediction of Urban Living Rubbish
p.508

Reduce Haze and Improve Urban and Rural Construction
p.517

A Primary Study about Water Quality Characteristics of Urban Constructive Sites Wastewater
p.521

Noise Influence and Prevention Treatment of Residential Buildings near Highway
p.525

Study on the Spatial Expansion Driving Force Mechanism of Carbon Source and Sink at Urban Fringe Areas
p.530

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 587-589Application of Variance Weight Prediction Model in...

Application of Variance Weight Prediction Model in the Output Prediction of Urban Living Rubbish

Abstract:

Urban rubbish has effect on the improvement of urban ecological environment and living conditions, so it is an important social problem, and correctly predicting the future quantity of the living rubbish is the precondition of solving the problem regarding the urban rubbish. This paper, based on relevant statistical data, and setting about from the change regulation of rubbish output, presents common models used for the output prediction of living rubbish, including the multiple linear regression model, GM (1,1) gray prediction model and the exponential model, and establishes the variance weight prediction model by combining the above three models, then designs weight factors according to accuracy of prediction models, the paper, finally achieves predicting results with higher stability and reliability.

You might also be interested in these eBooks

Sustainable Cities Development and Environment Protection IV

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 587-589)

Pages:

508-516

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.587-589.508

Citation:

Cite this paper

Online since:

July 2014

Authors:

Yan Li, Guang Fan Li, Fei Zhao

Keywords:

Living Rubbish, Residual Analysis, Variance Weight Prediction Model

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Lu Yulong, Han Jing, Yu Sijing, et al. Application of BP neural network combination in urban rubbish output prediction [J]. Environmental Science & Technology, 2010(05): 186-190.

Google Scholar

[2] Luo Huawei, Qiao Xiaoxia and Wu Guangwei; Application of the gray models in rural rubbish output prediction [J]. Chinese Agricultural Science Bulletin; 2011(32): 320-324.

DOI: 10.1109/icbmei.2011.5920938

Google Scholar

[3] Liao Zhiqiang, Zhu Ning and Hu Yadong; Application of index-based trend model in urban rubbish output prediction [J]. Environmental protection science; 2006(04): 27-29.

Google Scholar

[4] Li Zhitao, Zhuang Yufeng, Yao Fanzhao, et al.; Application of variable weight combination prediction model in rubbish output prediction [J]. Journal of Nanjing University of Technology (Natural Science Edition); 2009(02): 97-101.

Google Scholar

[5] Yan Hanyi and Wu Yuhua; Research and application of combined prediction model in urban rubbish output prediction [J]. Beijing Institute of Technology (Social Science Edition); 2009(02): 54-57.

Google Scholar

[6] Wang Bin, Li Chuan, Li Lan, et al.; Application of the multiple linear regression prediction model in urban rubbish output prediction [J]. Environmental Protection of Xinjiang; 2006(03): 37-39.

Google Scholar