Today, IEEE Transactions on Neural Networks and Learning Systems continues to be a topic of great relevance and interest to a large number of people around the world. For decades, IEEE Transactions on Neural Networks and Learning Systems has been the subject of debates, research and discussions in various areas of knowledge, as well as in society in general. Its impact and significance make it a topic of constant study and reflection, which continues to generate new perspectives, discoveries and points of view. In this article, we will explore different aspects of IEEE Transactions on Neural Networks and Learning Systems, its influence in various areas and its importance today.
| 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 | IEEE Trans. Neural Netw. Learn. Syst. |
| Indexing | |
| 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.