A training algorithm and stability analysis for recurrent neural networks

A training algorithm and stability analysis for recurrent neural networks

Training of recurrent neural networks (RNNs) introduces considerable computational complexities due to the need for gradient evaluations. How to get fast convergence speed and low computational complexity remains a challenging and open topic. Besides, the transient response of learning process of RN...

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Bibliographic Details
Main Authors: Xu, Zhao, Song, Qing, Wang, Danwei, Fan, Haijin
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2014
Subjects:
DRNTU::Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/101742
http://hdl.handle.net/10220/19738
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6290583&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F6269381%2F6289713%2F06290583.pdf%3Farnumber%3D6290583

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https://hdl.handle.net/10356/101742
http://hdl.handle.net/10220/19738
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6290583&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F6269381%2F6289713%2F06290583.pdf%3Farnumber%3D6290583

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