Support vector regression algorithms in the forecasting of daily maximums of tropospheric ozone concentration in madrid
作者： E. G. Ortiz-García , S. Salcedo-Sanz , A. M. Pérez-Bellido , J. Gascón-Moreno , A. Portilla-Figueras
DOI: 10.1007/978-3-642-13803-4_38
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摘要: In this paper we present the application of a support vector regression algorithm to real problem maximum daily tropospheric ozone forecast The approach proposed is hybridized with an heuristic for optimal selection hyper-parameters prediction carried out in all station air quality monitoring network Madrid analyze how depends on meteorological variables such as solar radiation and temperature, also perform comparison against results obtained using multi-layer perceptron neural same problem.
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sci-hub.se 参考文章(14)
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