Time-varying delays a b s t r a c t Because to apply a deterministic RNN to a noisy time series and the existence of a linear approximation are doubtful, we reconsider the solubility and stability of a recurrent neural network (RNN). Simpler methods are proposed to replace the complicated nonsingula
โฆ LIBER โฆ
NLq theory: checking and imposing stability of recurrent neural networks for nonlinear modeling
โ Scribed by Suykens, J.A.K.; Vandewalle, J.; De Moor, B.L.R.
- Book ID
- 119790698
- Publisher
- IEEE
- Year
- 1997
- Tongue
- English
- Weight
- 331 KB
- Volume
- 45
- Category
- Article
- ISSN
- 1053-587X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Solubility and stability of recurrent ne
โ
Eva C. Yen
๐
Article
๐
2011
๐
Elsevier Science
๐
English
โ 914 KB
Automated time domain modeling of linear
โ
Hitaish Sharma; Qi-Jun Zhang
๐
Article
๐
2008
๐
John Wiley and Sons
๐
English
โ 257 KB
In this article, a recurrent neural network (RNN) method is employed for dynamic time-domain modeling of both linear and nonlinear microwave circuits. An automated RNN modeling technique is proposed to efficiently determine the training waveform distribution and internal RNN structure during the off
Efficient recurrent neural network model
Efficient recurrent neural network model for the solution of general nonlinear optimization problems
โ
Malek, A.; Hosseinipour-Mahani, N.; Ezazipour, S.
๐
Article
๐
2010
๐
Taylor and Francis Group
๐
English
โ 541 KB
Dynamic Neural Networks for Modeling and
โ
Pourboghrat, Farzad; Pongpairoj, Harin; Liu, Ziqian; Farid, Farshad; Pourboghrat
๐
Article
๐
2003
๐
TSI Press
๐
English
โ 269 KB
A new neural network model for the feedb
โ
Mei-qin Liu; Sen-lin Zhang; Gang-feng Yan
๐
Article
๐
2008
๐
SP Zhejiang University Press
๐
English
โ 325 KB
Optimal nonlinear adaptive prediction an
โ
Po-Rong Chang; Jen-Tsung Hu
๐
Article
๐
1997
๐
IEEE
๐
English
โ 452 KB