OPPOSITE DEGREE COMPUTATION AND ITS APPLICATION

Engineering Heritage Journal

article

Xiao Guang Yue¹  Muhammad Aqeel Ashraf² 

[1] Department of Engineering Management, School of Civil Engineering, Wuhan University of Technology;School of Environment, China University of Geosciences

关键词: Waste-to-Energy;    Municipal Solid Waste;    Renewable Energy;    Incineration.;   

DOI  :  10.26480/gwk.01.2018.05.13

学科分类：社会科学、人文和艺术（综合）

来源: Zibeline International

【 摘 要 】

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 theapproximate relationship. The experiment was conducted at Chinese Xinjiang Province, during year 1995 to year2010. Opposite degree computation algorithm is based on priori value, posteriori value, priori matrix, posteriormatrix and the relationship between calculation data. By learning Chinese Xinjiang cotton production data from1995 - 2005, forecasts 2006 - 2010 cotton production; the result of the absolute error is 9.3237%. Meanwhile, weintroduce the prediction method based on BP neural network for the result comparison and found opposite degreecomputation method is superior to the BP neural network method. Cotton production prediction based on oppositedegree computation proved the algorithm is feasible and effective and can be used in numerical value prediction.

【 授权许可】

CC BY