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Big Data Stream Learning Based on Hybridized Kalman Filter and Backpropagation Through Time Method
Mälardalen University.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-9857-4317
2018 (English)In: 2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) / [ed] Liu, Y Zhao, L Cai, G Xiao, G Li, KL Wang, L, IEEE , 2018, p. 2886-2891Conference paper, Published paper (Refereed)
Abstract [en]

Most real-time control systems are often accompanied with various changes such as variations of working load and changes of the environment. Hence it is necessary to perform real-time process modeling so that the model can adjust itself in runtime to maintain high accuracy of states under control. This paper considers process model represented as a deep recurrent neural network. We propose a new hybridized learning method for online updating the weights of such recurrent neural networks by exploiting both fast convergence of Kalman filter and stable search of the Backpropagation through time algorithm. Several experiments were made to show that the proposed learning method has fast convergence, high accuracy and good adaptivity. It can not only achieve high modeling accuracy for a static process but also quickly adapt to changes of characteristics in a time -varying process.

Place, publisher, year, edition, pages
IEEE , 2018. p. 2886-2891
Keywords [en]
control system, real-time process modeling, deep learning, deep recurrent neural network, Backpropagation through time, Kalman filter
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-40289DOI: 10.1109/FSKD.2017.8393239ISI: 000437355302144Scopus ID: 2-s2.0-85050237781ISBN: 978-1-5386-2165-3 (print)OAI: oai:DiVA.org:mdh-40289DiVA, id: diva2:1235505
Conference
13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Guilin, PEOPLES R CHINA
Available from: 2018-07-26 Created: 2018-07-26 Last updated: 2018-08-16Bibliographically approved

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Xiong, Ning

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CiteExportLink to record
Permanent link

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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