Fernando Gomide, Edwin Lughofer,
"Recent advances on evolving intelligent systems and applications"
, Vol. 5, Nummer 4, Springer, Seite(n) 217-218, 2014
Original Titel:
Recent advances on evolving intelligent systems and applications
Sprache des Titels:
Englisch
Original Kurzfassung:
During the last decade, evolving intelligent systems (EIS)
have been become an important cornerstone for resolving
any dynamic learning and modeling demands in (on-line)
real-world modeling problems, especially with an intensified
dynamic data streaming context, changing environmental
conditions and system states or as part of large-scale
problems, e.g. web mining, multi-sensor networks, sequential
video analysis, Big Data or predictive maintenance in
factories for the future. The necessity is underlined by the
increasing dynamic and complexity of modeling problems
as well as the increasing sizes of data bases and storages,
which induce that conventional batch learning systems cannot
be applied within a reasonable time frame and sufficient
accuracy.