Open AccessImproving the efficiency of the construction organization through the introduction of neural network technology
Author(s) -
M.V. Kuklina,
Rafik Fedorovich Starkov,
A S Malanova,
I S Urazov
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/751/1/012102
Subject(s) - variety (cybernetics) , field (mathematics) , artificial neural network , computer science , data science , big data , loyalty , artificial intelligence , knowledge base , expert system , knowledge management , data mining , business , marketing , mathematics , pure mathematics
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.