USING NEURAL NETWORKS FOR DEMOGRAPHIC PREDICTION

Authors

DOI:

https://doi.org/10.26577/jpcsit2024020103

Keywords:

Machine Learning, Deep Learning, Artificial Intelligence, Data Analysis, Big Data

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.

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Author Biographies

Baglan Muratbek, International Information Technology University, Almaty, Kazakhstan

Master student of the International Information Technology University, Faculty of Computer Technologies and Cybersecurity (Almaty, Kazakhstan, e-mail: 36138@iitu.edu.kz).

Gulnara Bektemisova , International Information Technology University, Almaty, Kazakhstan

Candidate of Technical Sciences, Associate professor of the Department of Computer Engineering, International Information Technology University (Almaty, Kazakhstan, e-mail: g.bektemisova@iitu.edu.kz).

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How to Cite

Muratbek, B., & Bektemisova , G. (2024). USING NEURAL NETWORKS FOR DEMOGRAPHIC PREDICTION. Journal of Problems in Computer Science and Information Technologies, 2(1), 25–33. https://doi.org/10.26577/jpcsit2024020103