Polynomial activation neural networks: Modeling, stability analysis and coverage BP-training
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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