Logo des Repositoriums
 

Reusability in Artificial Neural Networks: An Empirical Study

dc.contributor.authorGhofrani, Javad
dc.contributor.authorKozegar, Ehsan
dc.contributor.authorBozorgmehr, Arezoo
dc.contributor.authorSoorati, Mohammad Divband
dc.contributor.editorFelderer, Michael
dc.contributor.editorHasselbring, Wilhelm
dc.contributor.editorRabiser, Rick
dc.contributor.editorJung, Reiner
dc.date.accessioned2020-02-03T13:03:56Z
dc.date.available2020-02-03T13:03:56Z
dc.date.issued2020
dc.description.abstractThis manuscript summarizes our empirical study on reuse in the context of Artificial Neural Networks (ANNs) extensively described in [Gh19b] as a paper with the same title, presented in 2nd International Workshop on Experiences and Empirical Studies on Software Reuse (WEESR 2019)en
dc.identifier.doi10.18420/SE2020_07
dc.identifier.isbn978-3-88579-694-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/31751
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftware Engineering 2020
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-300
dc.subjectSoftware Development
dc.subjectSoftware Process
dc.subjectHybrid Methods
dc.subjectSurvey Research
dc.titleReusability in Artificial Neural Networks: An Empirical Studyen
dc.typeText/Conference Paper
gi.citation.endPage
gi.citation.publisherPlaceBonn
gi.citation.startPage37
gi.conference.date24.-28. Feburar 2020
gi.conference.locationInnsbruck, Austria
gi.conference.sessiontitleDomänen-spezifische Softwareentwicklung

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
B2-01.pdf
Größe:
104.38 KB
Format:
Adobe Portable Document Format