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 2022 impact factor of 14.255.[1]
| Discipline | Neural networks |
|---|---|
| Language | English |
| Edited by | Yongduan Song |
| Publication details | |
Former name(s) | IEEE Transactions on Neural Networks |
| History | 1990–present |
| Publisher | |
| Frequency | Monthly |
| Hybrid | |
| 14.255 (2022) | |
| Standard abbreviations | |
| ISO 4 | IEEE Trans. Neural Netw. Learn. Syst. |
| Indexing | |
| ISSN | 2162-237X |
| Links | |
The journal was established in 1990 by the IEEE Neural Networks Council. The present and the previous Editors-in-Chief are as follows:
- 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
- ^ "IEEE Transactions on Neural Networks and Learning Systems". 2022 Journal Citation Reports. Web of Science (Science ed.). Thomson Reuters. 2022.