2021
Weight Identification Through Global Optimization in a New Hysteretic Neural Network Model
ICASSP 2021accepted
Unlike their biological counterparts, simple artificial neural networks are unable to retain information from their past state to influence their behavior. In this contribution, we propose to consider new nonlinear activation functions, whose outputs depend both from the current and past inputs thro…