Computer Science ›› 2013, Vol. 40 ›› Issue (8): 245-248.

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Study on Prediction Model of Ecological Security Index in Chongqing City Based on SVR Model

FENG Hai-liang,XIA Lei and HUANG Hong   

  • Online:2018-11-16 Published:2018-11-16

Abstract: In actual practice,owing to hysteresis of the conventional statistical analysis on ecological safety index,this article implemented Multivariable Grey model,Radical Basis Function Network and Support Vector Regression to input extremely relevant samples of ecological safety index from 1998to 2007in Chongqing.The outputs generated by the three models were evaluated and compared with ecological safety index gathered in 2008and 2009.According to the error analysis between the outputs and the actual index,more accurate predictions were produced by the Support Vector Regression model.In conclusion,the Support Vector Regression model is applicable to actual practice and has higher accuracy than the other two models.

Key words: Ecological prediction,Multivariable grey model,Radical basis function,Support vector regression

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