Design of Learning Models and Algorithmic Approaches in an Expert Learning System

Anotace: The article reveals the structures of learning models in an expert learning system and the principles of algorithmic construction in the design of this system. The invention and role of learning models in learning an expert system and the need to comply with the unified principles of algorithmic construction when designing these models are described in detail in the context written below. In the presented article, the proposed types of models are formed in the analytical processor, which is an InterBase link that regulates the learning process. Depending on their function, different types of trainable models are needed in the learning process.