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Spatial modeling of electrical conductivity with neural network

Sivapragasam, C., Jegatheesan, V., Arun, V. M. and Vanitha, S. 2010, Spatial modeling of electrical conductivity with neural network, International journal of engineering science and technology, vol. 2, no. 7, pp. 3128-3136.

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Title Spatial modeling of electrical conductivity with neural network
Author(s) Sivapragasam, C.
Jegatheesan, V.
Arun, V. M.
Vanitha, S.
Journal name International journal of engineering science and technology
Volume number 2
Issue number 7
Start page 3128
End page 3136
Total pages 9
Publisher Engg Journals Publications
Place of publication Chennai, India
Publication date 2010
ISSN 2141-2820
Keyword(s) spatial modeling
electrical conductivity
salt water intrusion
ANN
Summary Many policy decisions for agricultural management in the coastal region closely depend on the extent of intrusion of sea water. In this study, Artificial Neural Network (ANN) is used to model the spatial variation of Electrical Conductivity to determine the extent of sea water intrusion in the coastal area of Brisbane, Australia. Quarterly EC data obtained from the observation (monitoring) wells located along the coast is used for training ANN architecture. The study demonstrates that ANN is able to model the spatial variation of EC with very good accuracy (even with very less training records) when some spatial information is used as one of the inputs in the network training. The results considerable improvement when compared with the network trained without the distance information.
Language eng
Field of Research 099999 Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30039664

Document type: Journal Article
Collection: School of Engineering
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