MoneyBee: Aktienkursprognose mit künstlicher intelligenz bei hoher rechenleistung
dc.contributor.author | Bohn, Andreas | |
dc.contributor.author | Güting, Thomas | |
dc.contributor.author | Mansmann, Till | |
dc.contributor.author | Selle, Stefan | |
dc.date.accessioned | 2018-01-16T08:50:59Z | |
dc.date.available | 2018-01-16T08:50:59Z | |
dc.date.issued | 2003 | |
dc.description.abstract | The company i42 GmbH, Mannheim, developed MoneyBee: a system to predict stock market values, basing on artificial intelligence (neural networks), distributed computing and different applications to optimize the input- and output-data (e.g. genetic algorithms, statistical methods). More than 200 values (especially from German stock market) are observed by this system continuously, with daily updated predictions. The information technology product is an innovation — not by its basic technology, but by its cooperation of different program groups on high level. | |
dc.identifier.pissn | 1861-8936 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/12355 | |
dc.publisher | Springer | |
dc.relation.ispartof | Wirtschaftsinformatik: Vol. 45, No. 3 | |
dc.relation.ispartofseries | Wirtschaftsinformatik | |
dc.subject | artificial intelligence | |
dc.subject | genetic algorithms | |
dc.subject | neural networks | |
dc.subject | stock market predictions | |
dc.title | MoneyBee: Aktienkursprognose mit künstlicher intelligenz bei hoher rechenleistung | |
dc.type | Text/Journal Article | |
gi.citation.endPage | 333 | |
gi.citation.startPage | 325 |