Zhukov A.V., Sidorov D.N., Foley A.M. Random forest based approach for concept drift handling // Communications in Computer and Information Science. Vol.661. 2017. P.69-77. ISBN (print): 978-3-319-52920-2; 978-3-319-52919-6. DOI: 10.1007/978-3-319-52920-2_7 Concept drift has potential in smart grid analysis because the socio-economic behaviour of consumers is not governed by the laws of physics. Likewise there are also applications in wind power forecasting. In this paper we present decision tree...
Теги: machine learning , decision tree , concept drift , ensemble learning , classification , random forest , classification (of information) , decision trees , image analysis , learning algorithms , learning systems , wind power , aggregation rules , concept drifts , empiriMikheev A., Zubtsov V. Simultaneous velocity and temperature field measurement of high-temperature flows // DLR-Mitteilung. 2001. P.377-381. The problem of temperature distribution detection using IR pyrometry in high temperature flows is addressed. Two-wavelength IR pyrometry being a direct and passive technique seems to be attractive method of obtaining 2D or even 3D temperature field as an expansion of conventional PIV or PTV. As opposed to conventional PIV and PTV the inherent blackbody radiation...
Теги: charge coupled devices , combustion , heat transfer , image analysis , optical filters , particle beams , photointerpretation , pulsed laser applications , pyrometry , spectrum analysis , temperature distributi
