Pages that link to "Item:Q2028771"
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The following pages link to Forecasting corporate failure using ensemble of self-organizing neural networks (Q2028771):
Displaying 10 items.
- Predicting bankruptcies with the self-organizing map (Q1273978) (← links)
- Estimating the performance of Sino-Hong Kong joint ventures using neural network ensembles (Q1290197) (← links)
- Forecasting the acquisition of university spin-outs: an RBF neural network approach (Q1688103) (← links)
- Series hybridization of parallel (SHOP) models for time series forecasting (Q2128720) (← links)
- Forecasting bankruptcy using biclustering and neural network-based ensembles (Q2241078) (← links)
- Designing topological data to forecast bankruptcy using convolutional neural networks (Q6115949) (← links)
- Forecasting mortality rates with a coherent ensemble averaging approach (Q6163451) (← links)
- Data-driven decision model based on local two-stage weighted ensemble learning (Q6170946) (← links)
- Coherent Mortality Forecasting with a Model Averaging Approach: Evidence from Global Populations (Q6549260) (← links)
- Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation (Q6554678) (← links)
