Artificial neural networks for estimating regional arsenic concentrations in a blackfoot disease area in Taiwan

Journal of Hydrology

Volumn 388, Issue 1-2, 2010, Pages 65-76

  Chang, Fi John ^a   Kao, Li Shan ^a   Kuo, Yi Ming ^a   Liu, Chen Wuing ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Arsenic; Artificial neural networks (ANNs); Leave one out (LOO) cross validation; Modified performance function (MPF); Over fitting; Principal component analysis (PCA)

Indexed keywords

ARSENIC; DEEP NEURAL NETWORKS; GROUNDWATER; NEURAL NETWORKS; SPATIAL DISTRIBUTION;

ACCEPTABLE PERFORMANCE; ARSENIC CONCENTRATION; BACK PROPAGATION NEURAL NETWORKS; GROUNDWATER MONITORING WELLS; LEAVE-ONE-OUT CROSS VALIDATIONS; OVERFITTING; PERFORMANCE FUNCTIONS; VALIDATION PROCESS;

PRINCIPAL COMPONENT ANALYSIS;

ARSENIC; ARTIFICIAL NEURAL NETWORK; BLOOD SYSTEM DISORDER; COASTAL ZONE; PRINCIPAL COMPONENT ANALYSIS; SPATIAL DISTRIBUTION; WELL WATER;

TAIWAN;

EID: 78650172294     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2010.04.029     Document Type: Article

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