The use of neural networks technology in a construction organization

Автор: Kuklina M.V., Leber A.I., Makhakova A.M.

Журнал: Вестник Алтайской академии экономики и права @vestnik-aael

Рубрика: Экономические науки

Статья в выпуске: 5-3, 2022 года.

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Today, the construction industry occupies a special place in the global economy. This article talks about the current state of the construction industry and improving its efficiency with the help of neural networks and artificial intelligence. The traditional statistical methods of analyzing customer loyalty are being replaced by evolutionary methods based on the use of information technology. It is also worth noting that in the conditions of global competition of companies and a huge scale of knowledge and information that need analysis and conclusion of a solution, it is necessary to introduce a network that will allow these tasks to be carried out in a short time. So, in such conditions of complex analysis, the artificial neural network tool is able to combine a variety of information in the field of construction in a single information repository - a knowledge base, and select recommendations from specialists for users taking into account their needs. This study focuses on the fact that with the help of neural networks, it will be possible to maintain consumer loyalty in the way that the network is able to adapt to the environment. This solution will allow you to partially or completely replace a person (expert specialist) when resolving some problematic situation.

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Construction industry, economy, artificial intelligence, neural networks

Короткий адрес: https://sciup.org/142235163

IDR: 142235163   |   DOI: 10.17513/vaael.2219

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