IEEE Transactions on Neural Networks and Learning Systems Issues Research Articles in April 2021 Edition
April 09, 2021
April 09, 2021
PISCATAWAY, New Jersey, April 9 -- IEEE Transactions on Neural Networks and Learning Systems, a journal that says it deals with the theory, design and applications of neural networks and learning systems from the IEEE Computational Intelligence Society, published research articles on the following topics in its April 2021 edition:
* Co-Learning Non-Negative Correlated and Uncorrelated Features for Multi-View Data
* Finite-Time Tracking Control for Nonlinear Systems via . . .
* Co-Learning Non-Negative Correlated and Uncorrelated Features for Multi-View Data
* Finite-Time Tracking Control for Nonlinear Systems via . . .