IEEE Transactions on Neural Networks and Learning Systems Information for Authors

2020 IEEE Transactions on Neural Networks and Learning Systems  
The IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS publishes technical articles that deal with the theory, design, and applications of neural networks and related learning systems. Readers are encouraged to submit manuscripts that disclose significant technical achievements, indicate exploratory developments, or present significant application for neural networks and related learning systems. The articles in this journal are peer reviewed in accordance with the requirements set forth
more » ... uirements set forth in the IEEE PSPB Operations Manual (sections 8.2.1.C & 8.2.2.A). Each published article was reviewed by a minimum of two independent reviewers using a single-blind peer review process, where the identities of the reviewers are not known to the authors, but the reviewers know the identities of the authors. Articles will be screened for plagiarism before acceptance. Corresponding authors from low-income countries are eligible for waived or reduced open access APCs.
doi:10.1109/tnnls.2020.2987665 fatcat:kj7hs23uvfhdvps3wgpbggm4xm