1.2k citations · 2k across the 17 of their papers we have counts for
Showing cs.NEShow all
2 papers · 1 filter
cs.NE2016★ 68 cited
Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency
Shiliang Zhang, Cong Liu, Hui Jiang +3
In this paper, we propose a novel neural network structure, namely \emph{feedforward sequential memory networks (FSMN)}, to model long-term dependency in time series without using…
cs.NE2015★ 20 cited
Feedforward Sequential Memory Neural Networks without Recurrent Feedback
ShiLiang Zhang, Hui Jiang, Si Wei +1
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…