Improving the efficiency of the construction organization through the introduction of neural network technology

Abstract

Abstract This article considers artificial neural networks as a tool to improve the efficiency of a construction organization. This study is relevant for areas where complex processes are associated with the lack of access to big data. So, these conditions of complex analysis show that an artificial neural network tool is able to combine in a single information storage -knowledge base - a variety of information in the field of construction and select the recommendations of specialists for users using their needs. At the same time, this study focuses on researching the effectiveness of small data analysis using the example of assessing the loyalty of companies’ customers. This solution will allow you to partially or completely replace a person (specialist-expert) during the resolution of the problem.