The use of neural network technologies for predictive error correction during the operation of an information system using the example of «1C:Enterprise»
Abstract
The use of neural network technologies for predictive error correction during the operation of an information system using the example of «1C:Enterprise»
Incoming article date: 16.09.2025This paper considers a method for predictive detection and prevention of failures in information systems using neural networks. The «1C:Enterprise» was chosen as an applied example , widely used in the corporate environment. The urgency of the task is due to the need to improve the reliability of information systems and minimize downtime associated with technical failures. The proposed approach includes several stages: collecting and analyzing error logs, preprocessing data, selecting the architecture of an artificial neural network and then verifying its quality. A comparative analysis shows that the proposed solution provides a faster response rate to potential failures compared to classical monitoring tools.
Keywords: 1C:Enterprise, corporate information systems (CIS), IT services analytics