- Andrea Murari (Consorzio RFX)
Dr JESUS VEGA (Laboratorio Nacional de Fusión. CIEMAT)
The statistical learning theory allows the estimation of functional dependency from a given collection of data. It includes discriminant analysis, regression analysis and the density estimation problem. It is used to obtain data-driven models to relate heterogeneous quantities with the aim of making predictions. In science, statistical learning is an essential theory to find relationships...
3. A Model Falsification Approach to Learning in Non-Stationary Environments for Experimental Design
Dr Andrea Murari (RFX Consortium and PMU)
The application of machine learning and advanced statistical tools to complex physics experiments becomes very problematic, when the i.i.d. (independent and identical distribution) hypothesis is not verified, due the varying conditions of the systems to be studied. In particular, new experiments have to be executed in unexplored regions of the operational space. As a consequence, the input...
Dr Michela Gelfusa (Department of Industrial Engineering, University of Rome “Tor Vergata”, via del Politecnico 1, Roma, Italy)
Accurate prediction of catastrophic events is becoming an important area of investigation in many research fields. In Tokamaks, detecting disruptions with sufficient anticipation time is a prerequisite to undertaking any remedial strategy, either for mitigation or for avoidance. Traditional predictors based on machine learning techniques can be very performing, if properly optimised, but tend...
Dr Teddy Craciunescu (National Institute for Lasers, Plasma and Raadiation Physics, Bucharest, Romania)
Coupling and synchronization are common phenomena that occur in nature, e.g. in biological, physiological and environmental systems, as well as in physics and engineered systems. Depending on the coupling strength, the systems may undergo phase synchronization, generalized synchronization, lag synchronization and complete synchronization . Lag or intermittent lag synchronization, where the...
Dr Emmanuele Peluso (University of Rome Tor Vergata)
Synchronization can be defined as the coordination of events to operate a system in harmony. It is important in the operation of manmade systems and in the investigation of natural events. In the last decade or so, synchronization of multiple interacting dynamical systems has become a lively field of study for control. In Magnetic Confinement Nuclear Fusion, various pacing concepts have been...