IEEE Transactions on Neural Networks and Learning Systems
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Academic journal
| Discipline | Neural networks |
|---|---|
| Language | English |
| Edited by | Yongduan Song |
| Publication details | |
Former name | IEEE Transactions on Neural Networks |
| History | 1990–present |
| Publisher | |
| Frequency | Monthly |
| Hybrid | |
| 14.255 (2021) | |
| Standard abbreviations ISO 4 (alt) · Bluebook (alt) NLM (alt) · MathSciNet (alt Paid subscription required) | |
| ISO 4 | IEEE Trans. Neural Netw. Learn. Syst. |
| Indexing CODEN (alt · alt2) · JSTOR (alt) · LCCN (alt) MIAR · NLM (alt) · Scopus · W&L | |
| ISSN | 2162-237X |
| Links | |
IEEE Transactions on Neural Networks and Learning Systems is a monthly peer-reviewed scientific journal published by the IEEE Computational Intelligence Society. It covers the theory, design, and applications of neural networks and related learning systems. According to the Journal Citation Reports , the journal had a 2021 impact factor of 14.255.[1]
The journal was established in 1990 by the IEEE Neural Networks Council.
Editors-in-chief
[edit ]- Yongduan Song (Chongqing University), 2022–present
- Haibo He (University of Rhode Island), 2016–2021
- Derong Liu (University of Illinois), 2010–2015
- Marios M. Polycarpou (University of Cyprus), 2004–2009
- Jacek M. Zurada (University of Louisville), 1998–2003
- Robert J. Marks II (Baylor University), 1992–1997
- Michael W. Roth (Johns Hopkins University), 1991
- Herbert E. Rauch (Lockheed Palo Alto Research Laboratory), 1990
References
[edit ]- ^ "IEEE Transactions on Neural Networks and Learning Systems". 2021 Journal Citation Reports. Web of Science (Science ed.). Clarivate. 2022.