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.

国际机械学习和网络通知(IJMLC)侧重于机器学习和控制论交界处出现的主要研究问题,并作为快速传播该地区最新进步的广泛论坛。IJMLC的重点是由不同贡献学科(如工程,数学,认知科学和应用)的机器学习和控制论计划的混合开发。与机器学习和控制论的所有方面都属于IJMLC的范围内的新思路,设计替代方案,实现和案例研究。

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
  • 生物和生物启发系统中的生物化学相互作用
  • Learning for improvement of communication schemes between systems

Journal information

Editors-in-Chief
  • 王王王
  • Daniel S. Yeung
Publishing model
Hybrid (Transformative Journal).Learn about publishing Open Access with us

Journal metrics

3.753 (2019)
影响因子
3.140 (2019)
Five year impact factor
69 days
Submission to first decision
251 days
Submission to acceptance
142,602 (2020)
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