Polynomial activation neural networks: Modeling, stability analysis and coverage BP-training
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.06.004
Abstract: Abstract In this paper, firstly, a class of deep (or multi-layer) neural networks with polynomial activation functions (or polynomial activation neural networks: PANN) are created, while feed-forward and recurrent architectures and their nonlinear difference modeling… read more here.
Keywords: stability analysis; activation; polynomial activation; neural networks ... See more keywords
Self-Activation Neural Network Based on Self-Selective Memory Device With Rectified Multilevel States
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Electron Devices"
DOI: 10.1109/ted.2020.3014566
Abstract: In a digital–analog mixed neuromorphic system, various complex peripheral circuits may offset the integration and energy efficiency advantages of the dense crossbar. To simplify the peripheral circuits, a self-activation neural network (SANN) is proposed based… read more here.
Keywords: neural network; self activation; activation neural; network ... See more keywords