APPLYING MACHINE LEARNING AND AI TO EXPERT SYSTEMS

Abstract

This article discusses the creation of algorithms for the implementation of machine learning and artificial intelligence in expert systems for corporate information systems. The main attention is paid to the selection of those algorithms, such as neural networks, and their integration into the system to improve the accuracy of predictions and automate decision-making. The stages of data preparation, model training and their subsequent implementation into the system are described. Continuous learning is being considered, allowing the system to adapt to new data and changing conditions. An algorithm for the step-by-step implementation of machine learning in an expert system was also developed and depicted