Some recent researches in financial distress forecasting.
|Applying support vector machines to bank bankruptcy analysis using practical steps ||Erdogan, 2013|
|Presenting particle swarm optimization techniques to obtain appropriate parameter settings for subtractive clustering and integrates the adaptive-network-based fuzzy inference system (ANFIS) ||Chen, 2013|
|Applying a simple hazard model to develop an early warning system of bank distress in the gulf cooperation council countries ||Maghyereh and Awartani, 2014|
|Presenting a statistics-based wrapper for SVM-based financial distress identification by using statistical indices of ranking-order information from predictive performances on various parameters ||Li et al., 2014|
|Examining the effect of the filter and wrapper based feature selection methods and applying different classification techniques ||Liang et al., 2015|