Application to Bankruptcy Prediction in Banks

[1]  Derek A. Linkens,et al.  Prediction of mechanical properties in steel heat treatment process using neural networks , 2001 .

[2]  F. J. Martinez-de-Pison,et al.  Improvement and optimisation of hot dip galvanising line using neural networks and genetic algorithms , 2006 .

[3]  A. Pernía,et al.  Reducción de problemas de adherencia en procesos de galvanizado mediante técnicas de minería de datos , 2007 .

[4]  Joaquín Ordieres-Meré,et al.  Desarrollo de un cerrojo artificial para el skin-pass en una línea de acero galvanizado por inmersión en caliente , 2008 .

[5]  Ana González-Marcos,et al.  Steel annealing furnace robust neural network model , 2005 .

[6]  John W. Sammon,et al.  A Nonlinear Mapping for Data Structure Analysis , 1969, IEEE Transactions on Computers.

[7]  Kurt Hornik,et al.  Multilayer feedforward networks are universal approximators , 1989, Neural Networks.

[8]  Ken-ichi Funahashi,et al.  On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.

[9]  Kadir Liano,et al.  Robust error measure for supervised neural network learning with outliers , 1996, IEEE Trans. Neural Networks.

[10]  L. S. Hernández,et al.  Efecto protector de las capas de productos de corrosión de exposición atmosférica , 2002 .

[11]  Gérard Bloch,et al.  Neural intelligent control for a steel plant , 1997, IEEE Trans. Neural Networks.

[12]  Joaquín B. Ordieres Meré,et al.  Estimation of mechanical properties of steel strip in hot dip galvanising lines , 2004 .

[13]  L. A. Rodríguez Loredo,et al.  Visual predictive maintenance tool based on SOM projection techniques , 2003 .