A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
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 forthdoi:10.1109/tnnls.2020.3030512 fatcat:pueyl63s5zd7xfsjwy5eerbroe