Economics at your fingertips  

Opposite Degree Computation And Its Application

Xiaoguang Yue () and Muhammad Aqeel Ashraf
Additional contact information
Muhammad Aqeel Ashraf: School of Environment, China University of Geosciences, Wuhan, China

Engineering Heritage Journal (GWK), 2018, vol. 2, issue 1, 5-13

Abstract: In order to predict numerical value, we propose a new intelligent algorithm opposite degree computation algorithm. The opposite degree computation algorithm is based on the degree of antagonism between the data to analyze the approximate relationship. The experiment was conducted at Chinese Xinjiang Province, during year 1995 to year 2010. Opposite degree computation algorithm is based on priori value, posteriori value, priori matrix, posterior matrix and the relationship between calculation data. By learning Chinese Xinjiang cotton production data from 1995 – 2005, forecasts 2006 – 2010 cotton production; the result of the absolute error is 9.3237%. Meanwhile, we introduce the prediction method based on BP neural network for the result comparison and found opposite degree computation method is superior to the BP neural network method. Cotton production prediction based on opposite degree computation proved the algorithm is feasible and effective and can be used in numerical value prediction.

Keywords: Opposite degree computation; cotton production prediction; prior value; posteriori value; BP neural network. (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

DOI: 10.26480/gwk.01.2018.05.13

Access Statistics for this article

Engineering Heritage Journal (GWK) is currently edited by Dr. Nastaein Qamaruz Zaman

More articles in Engineering Heritage Journal (GWK) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ().

Page updated 2022-12-04
Handle: RePEc:zib:zbngwk:v:2:y:2018:i:1:p:5-13