INVERSE AND FORWARD MODELING MACHINE LEARNING-BASED GENERATIVE DESIGN

Machine-learned networks provide generative design. Rather than emulate the typical human design process, an inverse model is machine trained to generate a design from requirements. A simulation model is machine trained to recover performance relative to the requirements for generated designs. These...

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Bibliographische Detailangaben

Hauptverfasser:	VENUGOPALAN, Janani, SLAVIN III, Edward, SRIVASTAVA, Sanjeev, CHALUPKA, Krzysztof, STANISZEWSKI, Marcin, VILLENEUVE, Frederic
Format:	Patent
Sprache:	eng ; fre
Online-Zugang:	Volltext bestellen
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