THE USAGE OF NEURAL NETWORKS AND COMPARISION OF RESULTS AT CLASSIFYING THE REAL-TIME DATA

Abstract

In recent years, notable success has been recorded in the sphere of machine learning. Particularly, different usages of deep neural networks, including convolutional and recurrent neural networks in image, speech and signal processing are known. However, there is practically no research carried out to find methods for using deep neural networks in elaboration of real-time data of financial transactions. In the frames of this work, the deep neural networks for classifying the real-time data, and also finding new models and methods for analyzing the transaction results are investigated.