A depth-resolved artificial neural network model of marine phytoplankton primary production
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DOI: 10.1016/j.ecolmodel.2018.05.003
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- Iebeling Kaastra & Milton S. Boyd, 1995. "Forecasting futures trading volume using neural networks," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(8), pages 953-970, December.
- Holmlund, Cecilia M. & Hammer, Monica, 1999. "Ecosystem services generated by fish populations," Ecological Economics, Elsevier, vol. 29(2), pages 253-268, May.
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Cited by:
- Mattei, F. & Buonocore, E. & Franzese, P.P. & Scardi, M., 2021. "Global assessment of marine phytoplankton primary production: Integrating machine learning and environmental accounting models," Ecological Modelling, Elsevier, vol. 451(C).
- Sunayana & Komal Kalawapudi & Ojaswikrishna Dube & Renuka Sharma, 2020. "Use of neural networks and spatial interpolation to predict groundwater quality," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 2801-2816, April.
- Mattei, F. & Scardi, M., 2020. "Embedding ecological knowledge into artificial neural network training: A marine phytoplankton primary production model case study," Ecological Modelling, Elsevier, vol. 421(C).
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Keywords
Marine phytoplankton; Primary production; Artificial neural networks; Depth-resolved model;All these keywords.
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