A New Predictive Model for Evaluating Chlorophyll-a Concentration in Tanes Reservoir by Using a Gaussian Process Regression
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DOI: 10.1007/s11269-020-02699-x
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- Li, Meng & Sadoughi, Mohammadkazem & Hu, Zhen & Hu, Chao, 2020. "A hybrid Gaussian process model for system reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
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- Marie-Pier Schinck & Chloé L’Ecuyer-Sauvageau & Justin Leroux & Charlène Kermagoret & Jérôme Dupras, 2020. "Risk, Drinking Water and Harmful Algal Blooms: A Contingent Valuation of Water Bans," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(12), pages 3933-3947, September.
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- Wu, Jiawei & Wan, Liangqi, 2024. "Reliability sensitivity analysis for RBSMC: A high-efficiency multiple response Gaussian process model," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
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Keywords
Chlorophyll-a; Gaussian process regression (GPR); Bayesian statistics; Regression analysis; Reservoir water quality;All these keywords.
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