The Application of Artifical Neural Network in the Groundwater Quality Assessment in Industrial Park Catchment

Fu Rong Yu; Zhong Pei Liu

doi:10.4028/www.scientific.net/AMR.518-523.1340

Paper Titles

Research on Atmospheric Environmental Capacity Model of Urban Agglomeration
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Response of Ecosystem Service Values to Environmental Change in the Bohai Sea
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Secondary Fire Induced by Mine Methane Explosions
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Study on Data Fusion Model of Mine Environmental Monitoring
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The Application of Artifical Neural Network in the Groundwater Quality Assessment in Industrial Park Catchment
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The Comparison Study of Lake Carbon Flux in Summer and Autumn at Northern Grass-Type Lake-Baiyangdian
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The Environment Variation and Analysis of Wuliangsuhai Wetland in Inner Mongolia Autonomous Region
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Wavelet Transform Technology in the Non-Stationary Signal Fault Diagnosis in Engineering Application
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A Study of Spatial Interpolation of GanSu Air Temperature Based on arcGIS
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 518-523The Application of Artifical Neural Network in the...

The Application of Artifical Neural Network in the Groundwater Quality Assessment in Industrial Park Catchment

Abstract:

Artificial Neural Network(ANN) is an effective method of data analysis and way of processing, which is widely used. In the article BP artificial neural network was used to set up groundwater quality assessment model in Industrial Park Catchment. The matlab toolbox was used to calculate it, and the result was satisfactory. The results of the study show that BP artificial neural network in the appraisal of water quality has the advantages of simplicity and practical.

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Periodical:

Advanced Materials Research (Volumes 518-523)

Pages:

1340-1343

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.518-523.1340

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Online since:

May 2012

Authors:

Fu Rong Yu, Zhong Pei Liu

Keywords:

Artificial Neural Network (ANN), BP Network, Groundwater Quality Evaluation

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