Convergence of gradient method for a fully recurrent neural network-Reference-Cited by-同舟云学术

Convergence of gradient method for a fully recurrent neural network

Published:2009-02-17 Issue:3 Volume:14 Page:245-250
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Xu Dongpo,Li Zhengxue,Wu Wei

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-009-0398-0.pdf

Reference11 articles.

1. Atiya AF, Parlos AG (2000) New results on recurrent network training: Unifying the algorithms and accelerating convergence. IEEE Trans Neural Netw 11:697–709. doi: 10.1109/72.846741

2. Aussem A (2002) Sufficient conditions for error backflow convergence in dynamical recurrent neural networks. Neural Comput 14:1907–1927. doi: 10.1162/089976602760128063

3. Chen TB, Soo VW (1996) A comparative study of recurrent neural network architectures on learning temporal sequences. IEEE Int Conf Neural Netw 4:1945–1950

4. Gori M, Maggini M (1996) Optimal convergence of on-line backpropagation. IEEE Trans Neural Netw 7:251–254. doi: 10.1109/72.478415

5. Jesus OD, Hagan MT (2007) Backpropation algorithms for a broad class of dynamic networks. IEEE Trans Neural Netw 18:14–27. doi: 10.1109/TNN.2006.882371

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Double internal loop higher-order recurrent neural network-based adaptive control of the nonlinear dynamical system;Soft Computing;2023-03-27

2. Application of neural networks to inverse elastic scattering problems with near-field measurements;Electronic Research Archive;2023

3. Discrete-time ZNN-based noise-handling ten-instant algorithm solving Yang-Baxter-like matrix equation with disturbances;Neurocomputing;2022-06

4. Recurrent neural network with $L_{1/2}$ regularization for regression and multiclass classification problems;Journal of Nonlinear Functional Analysis;2022

5. A neural network scheme for recovering scattering obstacles with limited phaseless far-field data;Journal of Computational Physics;2020-09