کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4379378 1303519 2006 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A new synergetic paradigm in environmental numerical modeling: Hybrid models combining deterministic and machine learning components
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
A new synergetic paradigm in environmental numerical modeling: Hybrid models combining deterministic and machine learning components
چکیده انگلیسی
A new type of environmental numerical models, hybrid environmental numerical models (HEMs) based on combining deterministic modeling and machine learning components, is introduced and formulated. Conceptual and practical possibilities of developing HEM, as an optimal synergetic combination of the traditional deterministic/first principles modeling (like that used for solving PDEs on the sphere representing model dynamics of global climate models) and machine learning components (like accurate and fast neural network emulations of model physics or chemistry processes), are discussed. Examples of developed HEMs (hybrid climate models and a hybrid wind-wave ocean model) illustrate the feasibility and efficiency of the new approach for modeling extremely complex multidimensional systems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Modelling - Volume 191, Issue 1, 27 January 2006, Pages 5-18
نویسندگان
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