Furquim, G., Pessin, G., Faiçal, B., Mendiondo, E., & Ueyama, J. (2016). Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory. Neural Computing & Applications, 27(5), 1129. https://doi.org/10.1007/s00521-015-1930-z
Chicago Style (17th ed.) CitationFurquim, Gustavo, Gustavo Pessin, Bruno Faiçal, Eduardo Mendiondo, and Jó Ueyama. "Improving the Accuracy of a Flood Forecasting Model by Means of Machine Learning and Chaos Theory." Neural Computing & Applications 27, no. 5 (2016): 1129. https://doi.org/10.1007/s00521-015-1930-z.
MLA (9th ed.) CitationFurquim, Gustavo, et al. "Improving the Accuracy of a Flood Forecasting Model by Means of Machine Learning and Chaos Theory." Neural Computing & Applications, vol. 27, no. 5, 2016, p. 1129, https://doi.org/10.1007/s00521-015-1930-z.