Maschinelles Lernen einer Funktion zur Vorhersage einer Nächsten Cad-Funktion in einem Cad-Merkmalsbaum

Details

Veröffentlichungs-Nr.

EP4773031

Anmeldetag

2. Januar 2025

Veröffentlichung

8. Juli 2026

Rechtsraum

EP

IPC

G06F30/12, G06F30/27, G06N3/02

Abstract

The disclosure relates to a machine-learning method for learning a function configured for predicting a next feature in a feature tree. The method comprises providing a dataset of examples each comprising a graph representing at least a part of a feature tree. The graph comprises nodes each representing a feature and each labeled with a label of a set of labels each indicating a feature type of a predetermined set. The graph comprises edges each connecting nodes and representing a parent-child relationship between the features represented by the nodes. The graph comprises ground truth data indicating a next feature according to one or more selected features each corresponding to a graph node. The method further comprises training the function to take as input a graph representing at least a part of a feature tree and to output a prediction of one or more next features in the feature tree.

Anmelder

Firma

Dassault Systèmes

Land

🇫🇷 Frankreich

Fachgebiete