DocumentCode
1944893
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
Volume
1
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
13
Lastpage
15
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.411
Filename
4721679
Link To Document