Cybernetics is concerned with describing complex interactions and interrelationships between systems which are omnipresent in our daily life. Machine Learning discovers fundamental functional relationships between variables and ensembles of variables in systems. The merging of the disciplines of Machine Learning and Cybernetics is aimed at the discovery of various forms of interaction between systems through diverse mechanisms of learning from data.

The International Journal of Machine Learning and Cybernetics (IJMLC) focuses on the key research problems emerging at the junction of machine learning and cybernetics and serves as a broad forum for rapid dissemination of the latest advancements in the area. The emphasis of IJMLC is on the hybrid development of machine learning and cybernetics schemes inspired by different contributing disciplines such as engineering, mathematics, cognitive sciences, and applications. New ideas, design alternatives, implementations and case studies pertaining to all the aspects of machine learning and cybernetics fall within the scope of the IJMLC.

Key research areas to be covered by the journal include:

  • Machine Learning for modeling interactions between systems
  • Pattern Recognition technology to support discovery of system-environment interaction
  • Control of system-environment interactions
  • Biochemical interaction in biological and biologically-inspired systems
  • Learning for improvement of communication schemes between systems

Journal information

Editors-in-Chief
  • Xi-Zhao Wang,
  • Daniel S. Yeung
Publishing model
Hybrid. Open Access options available

Journal metrics

3.844 (2018)
Impact factor
2.918 (2018)
Five year impact factor
79 days
Submission to first decision
307 days
Submission to acceptance
108,150 (2019)
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About this journal

Electronic ISSN
1868-808X
Print ISSN
1868-8071
Abstracted and indexed in
  1. ACM Digital Library
  2. CNKI
  3. Chemical Abstracts Service (CAS)
  4. EBSCO Discovery Service
  5. EI Compendex
  6. Google Scholar
  7. INSPEC
  8. Institute of Scientific and Technical Information of China
  9. Japanese Science and Technology Agency (JST)
  10. Journal Citation Reports/Science Edition
  11. Naver
  12. OCLC WorldCat Discovery Service
  13. ProQuest Advanced Technologies & Aerospace Database
  14. ProQuest Central
  15. ProQuest SciTech Premium Collection
  16. ProQuest Technology Collection
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  18. ProQuest-ExLibris Summon
  19. SCImago
  20. SCOPUS
  21. Science Citation Index Expanded (SciSearch)
  22. WTI Frankfurt eG
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