mdh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Big data stream learning based hybridized Kalman filter and backpropagation through time
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-9857-4317
2017 (English)In: 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery 2017 ICNC-FSKD-2017, 2017Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2017.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-37075OAI: oai:DiVA.org:mdh-37075DiVA: diva2:1153420
Conference
13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery 2017 ICNC-FSKD-2017, 29 Jul 2017, Guilin, China
Projects
ADAPTER: Adaptive Learning and Information Fusion for Online Classification Based on Evolving Big Data Streams
Available from: 2017-10-30 Created: 2017-10-30 Last updated: 2017-10-30Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Xiong, Ning
By organisation
Embedded Systems
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 1 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf