Maschinelles Lernen für Topologisch Bewusste Cad-Wiederauffindung

Details

Veröffentlichungs-Nr.

EP4325388

Aktenzeichen

EP22306233

Anmeldetag

17. August 2022

Veröffentlichung

5. Juni 2024

Erteilung

5. Juni 2024

Rechtsraum

EP

IPC

G06F30/10G06N3/08G06N3/04G06T17/30G06F30/27G06V20/64G06V10/82G06T19/00G06N5/022G06N5/01G06N3/088

Abstract

The disclosure notably relates to a computer-implemented method of machine-learning. The method comprises obtaining a training dataset of B-rep graphs. Each B-rep graph represents a respective B-rep. Each B-rep graph comprises graph nodes each representing an edge, a face or a co-edge of the respective B-rep and being associated with one or more geometrical and/or topological features. Each B-rep graph comprises graph edges each between a respective first graph node representing a respective co-edge and a respective second graph node representing a face, an edge, an adjacent co-edge, or a mating co-edge associated with the respective co-edge. The method further comprises learning, based on the training dataset, a Deep CAD neural network. The Deep CAD neural network is configured to take as input a B-rep graph and to output a topological signature of the B-rep represented by the input B-rep graph.

Anmelder

Firma

Dassault Systèmes

Land

🇫🇷 Frankreich

Fachgebiete