Pages that link to "Item:Q856084"
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The following pages link to A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts (Q856084):
Displaying 11 items.
- Integrating spectral clustering with wavelet based kernel partial least square regressions for financial modeling and forecasting (Q632930) (← links)
- Simple solution methods for separable mixed linear and quadratic knapsack problem (Q693416) (← links)
- Product demand forecasts using wavelet kernel support vector machine and particle swarm optimization in manufacture system (Q847226) (← links)
- Identification of MIMO systems using radial basis function networks with hybrid learning algorithm (Q1030231) (← links)
- OR in spare parts management: a review (Q1754102) (← links)
- Logistics demand forecasting by using support vector machine optimized by artificial fish swarm algorithm (Q2824882) (← links)
- A new approach of forecasting intermittent demand for spare parts (Q2990397) (← links)
- (Q5159404) (← links)
- A new approach of forecasting intermittent demand for spare parts inventories in the process industries (Q5292802) (← links)
- Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (Q5475733) (← links)
- Intermittent demand forecasting with transformer neural networks (Q6589118) (← links)
