CALCULATION OF THE AGGREGATED INDICATOR FOR BANK PROJECTS BASED ON ARTIFICIAL NEURAL NETWORKS
We considered the problem of computing the aggregated indicators of the banking project. To illustrate the complex assessment of banking project, an algorithm of sequential operations was performed. These operations highlight optional composition and structure of the projects from the set of potential alternatives. The algorithm was tested by designing a neural network.
Keywords: commercial banks, management, project-based approach, bank project, project portfolio of a commercial bank, aggregate indicator, artificial neural network, multilayer perceptron