Title :
Water Quality Assessment Using Artificial Neural Network
Author :
Huiqun, Ma ; Ling, Liu
Author_Institution :
State Key Lab. of Hydrol.-Water Resources & Hydraulic Eng., Hohai Univ., Nanjing
Abstract :
Artificial neural network (ANN) is machine-based computational technique. The technique is particularly suited to problems that involve the manipulation of multiple parameters and nonlinear interpolation, and as a consequence are not easily amenable to conventional theoretical and mathematical approaches. This paper introduces the ANN and fuzzy logic interface and then uses ANN in the water quality assessment of Dongchang Lake in Liaocheng City.
Keywords :
fuzzy logic; interpolation; lakes; neural nets; water pollution; Dongchang Lake; Liaocheng City; artificial neural network; fuzzy logic interface; machine-based computational technique; nonlinear interpolation; water quality assessment; Artificial neural networks; Biological system modeling; Computer networks; Feedforward systems; Humans; Interpolation; Multi-layer neural network; Neural networks; Neurons; Quality assessment; ANN; assesement; nonlinear; water quality;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.411
