Lernen eines Neuronalen Netzwerks zur Ableitung von Editierbaren Merkmalsbäumen

Details

Veröffentlichungs-Nr.

EP3674870

Aktenzeichen

EP18306884

Anmeldetag

29. Dezember 2018

Veröffentlichung

19. Februar 2025

Erteilung

19. Februar 2025

Rechtsraum

EP

IPC

G06N3/084G06N3/00G06N3/04G06N3/08G06T17/10G06T17/00G06N3/006G06N3/045G06N3/044// G06F3/0484

Abstract

The invention notably relates to a computer-implemented method for learning a neural network configured for inference, from a discrete geometrical representation of a 3D shape, of an editable feature tree representing the 3D shape. The editable feature tree comprises a tree arrangement of geometrical operations applied to leaf geometrical shapes. The method comprises providing a dataset including discrete geometrical representations each of a respective 3D shape, and providing a candidate set of leaf geometrical shapes. The method also comprises learning the neural network based on the dataset and on the candidate set. The candidate set comprises at least one continuous subset of leaf geometrical shapes. The method forms an improved solution for digitization.

Anmelder

Firma

Dassault Systèmes

Land

🇫🇷 Frankreich

Fachgebiete