Pages that link to "Item:Q856675"
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The following pages link to Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge (Q856675):
Displaying 9 items.
- A new approach to assess product lifetime performance for small data sets (Q2355947) (← links)
- Learning management knowledge for manufacturing systems in the early stages using time series data (Q2383116) (← links)
- Using virtual sample generation to build up management knowledge in the early manufacturing stages (Q2432861) (← links)
- Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge (Q2581623) (← links)
- Integrating data augmentation and hybrid feature selection for small sample credit risk assessment with high dimensionality (Q2676331) (← links)
- A new approach to generating virtual samples to enhance classification accuracy with small data -- a case of bladder cancer (Q2686756) (← links)
- Knowledge acquisition and revision using neural networks: an application to a cross-national study of brand image perception (Q5469659) (← links)
- A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes (Q6139454) (← links)
- Data augmentation using improved conditional GAN under extremely limited fault samples and its application in fault diagnosis of electric submersible pump (Q6202483) (← links)
