International Journal of Machine Learning and Cybernetics

ISSN: 1868-8071

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International Journal of Machine Learning and Cybernetics Q1 Unclaimed

Springer Science + Business Media United States
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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 systemsPattern Recognition technology to support discovery of system-environment interactionControl of system-environment interactions Biochemical interaction in biological and biologically-inspired systemsLearning for improvement of communication schemes between systems It has an SJR impact factor of 0,988.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Price

2690 €

Inmediate OA

NPD

Embargoed OA

0 €

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Metrics

International Journal of Machine Learning and Cybernetics

0,988

SJR Impact factor

65

H Index

321

Total Docs (Last Year)

648

Total Docs (3 years)

15430

Total Refs

3059

Total Cites (3 years)

643

Citable Docs (3 years)

4.05

Cites/Doc (2 years)

48.07

Ref/Doc

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