Runkler, Thomas A.Sollacher, RudolfSzabo, Andrei2018-01-082018-01-0820122012https://dl.gi.de/handle/20.500.12116/11291This article deals with the modeling and management of spatiotemporal systems using machine learning and self-organization algorithms. Two application examples are the localization of objects from radio measurements using spatiotemporal models learned from data, and the self-organizing management of wireless multi-hop sensor networks. For both examples we show how machine learning and self-organization significantly increases accuracy and efficiency.Text/Journal Article1610-1987