Artificial intelligence methods KSU01363

Course content: History of establishment and development of artificial intelligence. The main tasks of artificial intelligence, the concept of artificial intelligence methods. The model of artificial neuron, activation function types, types of artificial neural networks, multi-layered construction of MLP network. Properties of artificial neural networks, learning algorithms. Examples of operations on fuzzy sets. The characteristics of fuzzy sets. Fuzzy rules. Stages in the fuzzy model. Building a knowledge base in expert systems. Construction and operation of the expert system’s rule base. Basic concepts of genetic algorithms. The classic genetic algorithm. Evolutionary algorithms. Application of evolutionary algorithms. Examples of using artificial intelligence in management. Trends in AIM.

Learning outcomes: ability to use artificial neural networks, fuzzy sets and expert systems in practice