Application of neural networks to pbkp_redict the success of the purchase of debt to a financial institution

Abstract:

Neural networks are structures constructed from simple artificial neurons connected together, like biological brains. It has applications in the field of banking, engineering, and other areas, where automatic learning is required to anticipate specific solutions. The objective of this research was to train a neural network to be able to classify as success or failure a purchase request from one financial institution to another. By performing Datamining a classification efficiency of 76.57% was obtained.

Año de publicación:

2019

Keywords:

• classification
• automatic learning
• Artificial nueronal network
• DataMining

Fuente:

scopus