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Partin et al., 2023 - Google Patents

Multifidelity data fusion in convolutional encoder/decoder networks

Partin et al., 2023

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Document ID
259558524405858238
Author
Partin L
Geraci G
Rushdi A
Eldred M
Schiavazzi D
Publication year
Publication venue
Journal of Computational Physics

External Links

Snippet

We analyze the regression accuracy of convolutional neural networks assembled from encoders, decoders and skip connections and trained with multifidelity data. Besides requiring significantly less trainable parameters than equivalent fully connected networks …
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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