ISSN:
0167-8191
eISSN:
1872-7336
Disciplines
(Field of Science):
- information and communication technology (Engineering and Technology)
- safety engineering (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- international relations (Social studies)
- computer and information sciences (Natural sciences)
(Field of Science)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 70 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 70 | Ministry scored journals list 2024 |
2023 | 70 | Ministry Scored Journals List |
2022 | 70 | Ministry Scored Journals List 2019-2022 |
2021 | 70 | Ministry Scored Journals List 2019-2022 |
2020 | 70 | Ministry Scored Journals List 2019-2022 |
2019 | 70 | Ministry Scored Journals List 2019-2022 |
2018 | 35 | A |
2017 | 35 | A |
2016 | 30 | A |
2015 | 35 | A |
2014 | 35 | A |
2013 | 30 | A |
2012 | 30 | A |
2011 | 30 | A |
2010 | 27 | A |
Model:
Hybrid
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 3.5 |
Year | Points |
---|---|
2023 | 3.5 |
2022 | 3 |
2021 | 2.8 |
2020 | 3.1 |
2019 | 2.9 |
2018 | 2.9 |
2017 | 2.9 |
2016 | 3 |
2015 | 3.8 |
2014 | 4.6 |
2013 | 4.3 |
2012 | 4.4 |
2011 | 3.3 |
Impact Factor:
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Sherpa Romeo:
Papers published in journal
Filters
total: 1
Catalog Journals
Year 2018
-
Machine Learning in Multi-Agent Systems using Associative Arrays
PublicationIn this paper, a new machine learning algorithm for multi-agent systems is introduced. The algorithm is based on associative arrays, thus it becomes less complex and more efficient substitute of artificial neural networks and Bayesian networks, which is confirmed by performance measurements. Implementation of machine learning algorithm in multi-agent system for aided design of selected control systems allowed to improve the performance...
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