On-line Gauss–Newton-based learning for fully recurrent neural networks
Work
Year: 2005
Type: article
Source: Nonlinear Analysis
Cites: 21
Cited by: 9
Related to: 10
FWCI: 1.248
Citation percentile (by year/subfield): 83.45
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed