Artificial Intelligence Methods LN03363

Course content: History of establishment and development of artificial intelligence techniques. Applications of artificial intelligence in the logistics, the main tasks of artificial intelligence, the concept of artificial intelligence methods. Properties of artificial neural networks, learning algorithms, advantages and disadvantages of ANN. Operations on fuzzy sets. Examples of operations on fuzzy sets. The characteristics of fuzzy sets. Fuzzy rules. Stages in the fuzzy model. Operations on fuzzy numbers. 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. Applications of evolutionary algorithms. Examples of using artificial intelligence methods in logistics.

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