Integrating knowledge-based and data-driven modeling of population dynamics

dc.contributor.author	Džeroski, Sašo
dc.contributor.author	Todorovski, Ljupco
dc.contributor.editor	Hilty, Lorenz M.
dc.contributor.editor	Gilgen, Paul W.
dc.date.accessioned	2019-09-16T09:32:09Z
dc.date.available	2019-09-16T09:32:09Z
dc.date.issued	2001
dc.description.abstract	The paper is concerned with integrating knowledge-based modeling or modeling from first principles, with data-driven or automated modeling of dynamic systems. We propose an approach to representing knowledge about processes in population dynamics domains and a method to transform such knowledge into an operational form that could be used by systems for discovery of differential equations. In this way, we improve the ability of computer systems to exploit both knowledge and data in the process of automated modeling of dynamic systems.	de
dc.description.uri	http://enviroinfo.eu/sites/default/files/pdfs/vol104/0653.pdf	de
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/26773
dc.publisher	Metropolis
dc.relation.ispartof	Sustainability in the Information Society
dc.relation.ispartofseries	EnviroInfo
dc.title	Integrating knowledge-based and data-driven modeling of population dynamics	de
dc.type	Text/Conference Paper
gi.citation.publisherPlace	Marburg
gi.conference.date	2001
gi.conference.location	Zürich
gi.conference.sessiontitle	Modelling and Simulation

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