المؤلفون: Jihan Li, Xiaoli Li, Kang Wang, Guimei Cui

المصدر: Atmosphere; Volume 12; Issue 5; Pages: 607

مصطلحات موضوعية: support vector regression, adaptive unscented Kalman filter, Bayesian, multiple model

جغرافية الموضوع: agris

وصف الملف: application/pdf

العلاقة: Atmospheric Techniques, Instruments, and Modeling; https://dx.doi.org/10.3390/atmos12050607Test

الإتاحة: https://doi.org/10.3390/atmos12050607Test

المؤلفون: Xiaoli Li, Jihan Li, Guimei Cui, Kang Wang

المصدر: Atmosphere
Volume 12
Issue 5
Atmosphere, Vol 12, Iss 607, p 607 (2021)

مصطلحات موضوعية: Atmospheric Science, Frame (networking), Bayesian probability, adaptive unscented Kalman filter, MathematicsofComputing_GENERAL, 02 engineering and technology, Kalman filter, multiple model, 010501 environmental sciences, Environmental Science (miscellaneous), 01 natural sciences, Nonlinear state space model, Bayesian, Weighting, Back propagation neural network, Support vector machine, Autoregressive model, Meteorology. Climatology, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, QC851-999, support vector regression, Algorithm, 0105 earth and related environmental sciences, Mathematics

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e71f0e4eb9f8909fb9724d581bc02961Test