Invention Application
- Patent Title: MACHINE LEARNING APPROACH TO PIECEWISE LINEAR INTERFACE CONSTRUCTION
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Application No.: US16593890Application Date: 2019-10-04
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Publication No.: US20210103638A1Publication Date: 2021-04-08
- Inventor: Markus Bussmann , Mohammadmehdi Ataei
- Applicant: Autodesk, Inc.
- Applicant Address: US CA San Rafael
- Assignee: Autodesk, Inc.
- Current Assignee: Autodesk, Inc.
- Current Assignee Address: US CA San Rafael
- Main IPC: G06F17/50
- IPC: G06F17/50 ; G06N20/00 ; G06N3/08 ; G06T17/20

Abstract:
Methods, systems, and apparatus, including medium-encoded computer program products, for a machine learning approach for piecewise linear interface construction include: obtaining a cell fraction for a mesh cell in a mesh, a normal vector perpendicular to a linear interface for the mesh cell, and geometry information of the mesh cell, wherein the geometry information includes at least two data values; normalizing the geometry information of the mesh cell to reduce the at least two data values to at least one data value; obtaining an output value from a machine learning algorithm, previously trained using normalized geometry information of multiple different cells of a same mesh type as the mesh cell; determining the linear interface for the mesh cell based on the output value, the normal vector and the geometry information; using the linear interface for the mesh cell in numerical simulation processing of the mesh.
Public/Granted literature
- US11250186B2 Machine learning approach to piecewise linear interface construction Public/Granted day:2022-02-15
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