Effects of Noise on Convergence and Generalization in Recurrent Networks.
Kam-Chuen JimBill G. HorneC. Lee GilesPublished in: NIPS (1994)
Keyphrases
- recurrent networks
- general regression neural networks
- recurrent neural networks
- neural network
- feed forward
- noisy data
- missing data
- noise sensitivity
- biologically inspired
- convergence rate
- random noise
- image noise
- noise model
- database
- low signal to noise ratio
- background noise
- noise level
- noise reduction
- multi objective
- signal to noise ratio
- additive noise
- gaussian noise
- convergence speed
- decision making
- information systems