Feedforward Sequential Memory Neural Networks without Recurrent Feedback. We introduce a new structure for memory neural networks, called feedforward sequential memory networks (FSMN), which can learn long-term dependency without using recurrent feedback.
Oct 9, 2015
Dec 28, 2015 · Abstract:In this paper, we propose a novel neural network structure, namely \emph{feedforward sequential memory networks (FSMN)}, to model ...
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A new structure for memory neural networks, called feedforward sequential memory networks (FSMN), which can learn long-term dependency without using ...
Oct 15, 2015 · We introduce a new structure for memory neural networks, called feedforward sequential memory networks (FSMN), which can learn long-term ...
[PDF] Compact Feedforward Sequential Memory Networks for Large ...
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Recently, in [18, 19], we have proposed a simple non- recurrent structure, namely feedforward sequential memory net- works (FSMN), which can effectively model ...
Aug 30, 2010 · Feed-forward ANNs allow signals to travel one way only: from input to output. There are no feedback (loops); i.e., the output of any layer ...
Feb 20, 2017 · Abstract: In this paper, we propose a novel neural network structure, namely feedforward sequential memory networks (FSMN), ...
Dec 28, 2015 · PDF | In this paper, we propose a novel neural network structure, namely \emph{feedforward sequential memory networks (FSMN)}, to model.
Feb 4, 2016 · Feedforward sequential memory networks (FSMN) is a novel neural network structure to model long-term dependency in time series without using ...
Abstract—In this paper, we propose a novel neural net- work structure, namely feedforward sequential memory networks. (FSMN), to model long-term dependency ...