COMPUTER-AIDED DESIGN METHOD AND DESIGN SYSTEM

• Main Authors: Nouri, Behnam, Depeweg, Stefan, Sterzing, Volkmar
• Format: Patent
• Language: English
• Published: 22.06.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

For a multiplicity of design variants of a technical product, a training structural data set specifying the particular design variant and a training quality value quantifying a predefined design criterion are read in in each case as training data. The training data are taken as a basis for training a Bayesian neural network to determine an associated quality value, together with an associated uncertainty comment, on the basis of a structural data set. Furthermore, a multiplicity of synthetic structural data sets are generated and fed into the trained Bayesian neural network which generates a quality value with an associated uncertainty comment for each of the synthetic structural data sets. The uncertainty comments generated are compared with a predefined reliability comment and one of the synthetic structural data sets is selected on the basis thereof. The selected structural data set is then output for the purpose of producing the technical product.