CLASSIFYING ELEMENTS AND PREDICTING PROPERTIES IN AN INFRASTRUCTURE MODEL THROUGH PROTOTYPE NETWORKS AND WEAKLY SUPERVISED LEARNING

In example embodiments, a software service may employ a neural network to learn a non-linear mapping that transforms element features into embeddings. The neural network may be trained to distribute the embeddings in multi-dimensional embedding space, such that distance between the embeddings is mea...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Rausch-Larouche, Evan, Jahjah, Karl-Alexandre, Lapointe, Marc-André, Asselin, Louis-Philippe
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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