Dynamical Systems and artificial intelligence applied to data modelling
by Gabriel Mindlin and Ana Amador,
Dynamical Systems Lab, Universidad de Buenos Aires.
Pabellón I, Ciudad Universitaria (1428) - C.A.B.A - Argentina
Summary:
Nonlinear dynamics aims to elucidate the basic mechanisms necessary to reflect the temporal behavior of a natural system. The data analysis and modeling techniques proposed by artificial intelligence (deep networks, computational reservoirs, recurrent networks, as examples), ostensibly resign the mechanistic vision, for a data-oriented modeling paradigm. In this course, these apparently antagonistic approaches will be analyzed in parallel, and students will be provided with the minimum tools to approach the analysis of a problem from these complementary perspectives.
Slides
