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Soft sensor design with small datasets using a difference-based neural network
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DOI：10.1016/j.engappai.2026.115734.png)
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摘要
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• The Δ -Net is proposed to address dynamic system identification from small datasets. • The Δ -Net uses an augmented dataset obtained by a combinatorial approach. • Real industrial benchmarks are used to validate the proposed method. • Comparisons with different baseline methods show the superior performance of Δ -Net. • Statistical analyses for different dataset dimensions are reported.
Keyword:
Dynamical system identification
Soft sensors
Small datasets
Data augmentation
Neural networks
Difference-based learning
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8
论文数:
5.4K
被引数:
3.5W
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