Descriptive Characteristics of Surface Water Quality in Hong Kong by a Self-Organising Map.

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Assessment of the Eutrophication-Related Environmental Parameters in Two Mediterranean Lakes by Integrating Statistical Techniques and Self-Organizing Maps.Appraising Groundwater Quality and Health Risks from Contamination in a Semiarid Region of Northwest China

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Descriptive Characteristics of Surface Water Quality in Hong Kong by a Self-Organising Map.

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Ranran Li

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Yan An

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Zhihong Zou

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P2860

Assessment for water quality by artificial neural network in Daya Bay, South China Sea.

Comparison of self-organizing maps classification approach with cluster and principal components analysis for large environmental data sets.

Spatial and temporal characterization of trace elements and nutrients in the Rawal Lake Reservoir, Pakistan using multivariate analysis techniques.

A statistical assessment of the impact of agricultural land use intensity on regional surface water quality at multiple scales.

Application of biomonitoring and support vector machine in water quality assessment.

Analysis of a municipal wastewater treatment plant using a neural network-based pattern analysis.

Groundwater quality assessment based on rough sets attribute reduction and TOPSIS method in a semi-arid area, China.

Surface and subsurface water quality appraisal for irrigation.

Assessment of the surface water quality in Northern Greece.

Water quality evaluation based on improved fuzzy matter-element method.

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scholarly article

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10.3390/IJERPH13010115

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water quality

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4730506

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Descriptive Characteristics of Surface Water Quality in Hong Kong by a Self-Organising Map.

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P2860

P2860

Descriptive Characteristics of Surface Water Quality in Hong Kong by a Self-Organising Map.

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