Pages that link to "Item:Q1624633"
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The following pages link to A hybrid ARIMA-SVM model for the study of the remaining useful life of aircraft engines (Q1624633):
Displaying 10 items.
- Predicting remaining useful life of rotating machinery based artificial neural network (Q611424) (← links)
- A new ensemble residual convolutional neural network for remaining useful life estimation (Q2160609) (← links)
- Performance degradation prediction for a hydraulic servo system based on Elman network observer and GMM-SVR (Q2282699) (← links)
- Degradation trend prediction for rotating machinery using long-range dependence and particle filter approach (Q2287470) (← links)
- Poverty alleviation ecosystem evolutionary game on smart supply chain platform under the government financial platform incentive mechanism (Q2297161) (← links)
- Bitcoin price prediction using machine learning: an approach to sample dimension engineering (Q2332692) (← links)
- (Q5129564) (← links)
- Research on the method of performance index prediction based on multiple sensor parameters (Q5197317) (← links)
- Few-shot remaining useful life prediction based on meta-learning with deep sparse kernel network (Q6068671) (← links)
- Long-range dependence and heavy tail characteristics for remaining useful life prediction in rolling bearing degradation (Q6135638) (← links)
