کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
508187 865180 2008 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Support vector machine for 3D modelling from sparse geological information of various origins
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Support vector machine for 3D modelling from sparse geological information of various origins
چکیده انگلیسی

Three-dimensional (3D) geological models are a powerful way of visualization, analysis and interpretation of geological information. However, manual modelling with available GIS tools is a challenging and time-consuming task. Here we propose the use of the support vector machine (SVM) in order to automate the creation of such models. We experiment with various input data and hyperparameters in order to demonstrate that the SVM can be efficiently applied in 3D geological reconstructions overcoming some limitations of previously used methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 34, Issue 2, February 2008, Pages 127–143
نویسندگان
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