The Journal of
the Korean Society on Water Environment

The Journal of
the Korean Society on Water Environment

Bimonthly
  • ISSN : 2289-0971 (Print)
  • ISSN : 2289-098X (Online)
  • KCI Accredited Journal

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  3. 2017-05 (Vol. 33, No. 3)
  4. 10.15681/KSWE.2017.33.3.326
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1 
Bae K.T, Kim C.T, 2016, An Agricultural Estimate Price Model of Artificial Neural Network by Optimizing Hidden Layer, Journal of Advanced Information Technology and Convergence, Vol. 14, No. 12, pp. 161-169DOI
2 
Breiman L, Cutler A, 2015, Breiman and Cutler’s Random Forests for Classification and Regression
3 
Brooks W, Corsi S, Fienen M, Carvin R, 2016, Predicting Recreational Water Quality Advisories: A Comparison of Statistical Methods, Environmental Modelling & Software, Vol. 76, pp. 81-94DOI
4 
Chung S.W, Yoo J.S, Park H.S, Schladow S.G, 2016, Estimation of CO2 Emission from a Eutrophic Reservoir in Temperate Region, [Korean Literature], Journal of Korean Society on Water Environment, Vol. 32, No. 5, pp. 433-441DOI
5 
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10 
Fritsch S, Cuenther F, Suling M, Mueller S. M, 2016, Training of Neural Networks
11 
Guérin F, Abril G, Richard S, Burban B, Reynouard C, Seyler P, Delmas R, 2006, Methane and Carbon Dioxide Emissions from Tropical Reservoirs: Significance of Downstream Rivers, Geophysical Research Letters, Vol. 33, pp. L21407DOI
12 
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13 
Kim J. H, Lee S. W, Cha S. M, 2016, [Korean Literature], Environmental Statistics & Data Analysis
14 
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15 
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16 
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17 
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18 
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19 
Therrien J, Tremblay A, Jacques A, 2005, CO2 Emissions from Semi-Arid Reservoirs and Natural Aquatic Ecosystems, Greenhouse Gas Emissions: Fluxes and Processes, Hydroelectric Reservoirs and Natural Environments, Environmental Science Series, Springer, pp. 233-250Google Search
20 
UNESCO/IHA, 2010, GHG Measurement Guidelines for Freshwater Reservoirs, International Hydropower association
21 
Wang B, Oldham C, Hipsey M.R, 2016, Comparison of Machine Learning Techniques and Variables for Groundwater Dissolved Organic Nitrogen Prediction in an Urban Area
22 
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23 
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24 
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