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International Journal of Machine Learning and Cybernetics is a dedicated platform for the confluence of machine learning and cybernetics research.

  • Focused on the hybrid development of machine learning and cybernetics.
  • Encourages the submission of new ideas, design alternatives, and case studies.
  • Covers key research areas such as pattern recognition technology and control of system-environment interactions.
  • Explores biochemical interactions in biological and biologically-inspired systems.
  • Promotes learning for the improvement of communication schemes between systems.

  • Xi-Zhao Wang,
  • Daniel S. Yeung
Impact factor
5.6 (2022)
5 year impact factor
4.5 (2022)
Submission to first decision (median)
20 days
316,252 (2023)

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