This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...

This article aims to identify the most relevant variables that allow through a neural network model (RNA), with supervised learning, in a kind of error correction and feedforward perceptron multilayer architecture to achieve the best predictors of low risk, in the process of microcredit....

This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...

The major issues in agribusiness have to deal with the industrialization of primary agriculturalproduction and the high degree of market concentration in all of the industry's other sectors.Even primary agricultural production is shifting rapidly form “farming to system”. Theimportance of...

A risk map is a tool, based on various information systems, that aims to identify the activities or processes at risk, quantify the probability of these events and measure the potential damage associated with their occurrence. This kind of map provides three valuable contributions to a Manager:...

A risk map is a tool, based on various information systems, that aims to identify the activities or processes at risk, quantify the probability of these events and measure the potential damage associated with their occurrence. This kind of map provides three valuable contributions to a Manager:...