Pages that link to "Item:Q460038"
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The following pages link to Fault identification in industrial processes using an integrated approach of neural network and analysis of variance (Q460038):
Displaying 8 items.
- Integrated use of statistical-based approaches and computational intelligence techniques for tumors classification using microarray (Q1723248) (← links)
- Identifying the source of proportion shifts in a multinomial process using a simple statistical test procedure (Q1950757) (← links)
- Hybrid artificial neural networks modeling for faults identification of a stochastic multivariate process (Q2015441) (← links)
- Unlocked decision making based on causal connections strength (Q2068564) (← links)
- Process fault detection and isolation using dynamic multi-layer perceptrons genetically evolved (Q2644204) (← links)
- A Comparative Study of Different Methodologies for Fault Diagnosis in Multivariate Quality Control (Q5415898) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707623) (← links)
- Fault detection and isolation of multi-variate time series data using spectral weighted graph auto-encoders (Q6168965) (← links)
