Abstract
Currently, the big problem or opportunity is the collection and correct processing of data. Using a large amount of reliable data, as well as several types of data processing methods, it is possible to optimize many processes and the allocation of funds. Now, many neural networks are used throughout the Internet, an example of this is the use of neural networks to predict sales in retail. This method saves resources for analysts, speeds up work and provides round-the-clock monitoring, so it is possible to perfect sales in the market. This article also discusses the way of using a neural network to predict population demographic growth using neural networks. The proposed system should help perfect the distribution of funds and reduce the cost of demographic analysis. The article also discusses several methods of training a neural network to achieve this result. As a result of this research, it was possible to create a neural network model with a prediction accuracy of 99.7 percent.