DocumentCode
1887214
Title
Notice of Retraction
Prediction of Monthly Average Humidity of Cities Based on Extension Cluster Model
Author
Chen Weiguo ; Wang Wenjuan ; Yu Yongquan ; Zhang Hongna
Author_Institution
Inst. of Comput. Sci., Guangdong Univ. of Technol., Guangzhou, China
fYear
2010
fDate
25-26 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper uses extension classified prediction to predict monthly average humidity of cities. Using the concepts of matter-element and dependent function to establish prediction model, the prediction results can be obtained by means of cluster analysis. Through analyzing and calculating the historical data of Guangzhou City, the result shows that the extension cluster model in the prediction of humidity is valid.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper uses extension classified prediction to predict monthly average humidity of cities. Using the concepts of matter-element and dependent function to establish prediction model, the prediction results can be obtained by means of cluster analysis. Through analyzing and calculating the historical data of Guangzhou City, the result shows that the extension cluster model in the prediction of humidity is valid.
Keywords
environmental management; humidity measurement; set theory; Guangzhou City; cluster analysis; dependent function; extension classified prediction; extension cluster model; historical data; matter element; monthly average humidity; prediction model; Cities and towns; Computer science; Humidity; Predictive models; Temperature distribution; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location
Wuhan
ISSN
2156-7379
Print_ISBN
978-1-4244-7939-9
Type
conf
DOI
10.1109/ICIECS.2010.5677753
Filename
5677753
Link To Document