DE-BP neural network and its application in regime prediction of groundwater quality

Author

Ma, Lishan ; Yuan, Dekui ; Tao, Jianhua ; Yang, Guoli ; Sun, Yong

Author_Institution

Sch. of Mech. Eng., Tianjin Univ., Tianjin, China

Volume

2

fYear

2009

fDate

8-9 Aug. 2009

Firstpage

548

Lastpage

551

Abstract

The continuous deterioration of ground water quality is one of the important factors that affect development of national economy and society. Based on the DE-BP (Back Propagation-Differential Evolution) neutral network, the predicting model of ground water quality is presented. The precision of the model is checked using the monitoring data in Zhangjiakou area. The comparisons between the predicted results and the monitoring data show that the precision of the present algorithm is high with the maximum relative error being <5%. It lays the foundation of water resources management.

Keywords

environmental management; groundwater; neural nets; water pollution; water resources; DE-BP neural network; Zhangjiakou area; back propagation-differential evolution; groundwater quality; national economy; regime prediction; society; water resources management; Artificial neural networks; Communication system control; Computer network management; Computer networks; Monitoring; Neural networks; Predictive models; Quality management; Resource management; Water resources; DE-BP neutral network; ground water quality; prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on

Conference_Location

Sanya

Print_ISBN

978-1-4244-4247-8

Type

conf

DOI

10.1109/CCCM.2009.5267632

Filename

5267632