POSSIBILITIES FOR INTEGRATING 1C AND NEURAL NETWORKS FOR THE DEVELOPMENT OF INTELLIGENT DECISION SUPPORT SYSTEMS

UDC 004.8
DOI: 10.36871/2618-9976.2023.12.008

Authors

Vladimir A. Kvasha,
Director, Yaroslavl Branch of the Financial University under the Government of the Russian Federation, Yaroslavl, Russia
Ekaterina V. Lamova,
Student, Yaroslavl State Technical University, Yaroslavl, Russia
Elena I. Voevodina,
Senior Lecturer of the Department of Information Systems and Technologies, Yaroslavl State Technical University, Yaroslavl, Russia
Alexey D. Burykin,
Professor, Yaroslavl Branch of the Financial University under the Government of the Russian Federation, Yaroslavl, Russia
Polina S. Polozova,
Student in the field of study "Economics", Yaroslavl branch of the Financial University under the Government of Russia, Yaroslavl, Russia

Abstract

Integration of the 1C software product with neural networks is an important area of research in the field of information technology. Neural networks are a powerful tool for data processing and information analysis, and the 1C software solution includes a wide range of functions for automating business processes.
The article discusses the possibilities of integrating neural networks with the 1C platform. Integration of neural networks with the XNUMXC program allows you to effectively use deep learning methods and techniques to improve the accuracy and reliability of business processes. The use of neural networks allows you to automate routine tasks, process large volumes of data and predict trends and patterns in business analytics.

Keywords

Decision support systems, Big data, Information source, Artificial intelligence, Neural network, Integration