Title :
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
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;
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
DOI :
10.1109/CCCM.2009.5267632
