Place: ELEC seminar room, Building K, 7th floor (limited number of places) + TEAMS meeting (Join TEAMS meeting)
NEURAL NETWORK BASED IDENTIFICATION AND CONTROL – PERSPECTIVES AND POSSIBILITIES by Antoine Marchal
Neural Networks have been proven to being capable of approximating any Non-Linearity. With the emergence of Big Data necessary to feed Neural Networks algorithms, new opportunities arise in the fields of Data Driven Identification and Control. First results of Non-Linear Neural Network models are presented as well as perspectives for new research opportunities.