Knowledge about complex neural network controller design. Knowledge about different learning and automated setting methods for parameters tuning of intelligent control algorithms.
Learning Outcomes
 

•     Classify artificial neural networks
•     Apply nonrecursive neural network learning algorithms
•     Apply recursive neural network learning algorithms
•     Identify nonlinear dynamical systems via static neural networks
•     Design a neural controller for control of nonlinear dynamical systems
•     Apply genetic algorithms in optimization

Type of methodology: Combination of lecture and hands-on

Paid training activity for participants: Yes, for some only

Participants prerequisite knowledge: C/C++

Language: English and Croatian