On Adaptive Learning Rate That Guarantees Convergence in Feedforward Networks.
Laxmidhar BeheraSwagat KumarAwhan PatnaikPublished in: IEEE Trans. Neural Networks (2006)
Keyphrases
- feed forward
- adaptive learning rate
- neural network
- learning rate
- recurrent networks
- back propagation
- artificial neural networks
- neural nets
- globally convergent
- recurrent neural networks
- hidden layer
- biologically plausible
- spiking neural networks
- convergence rate
- spiking neurons
- adaptive neural
- activation function
- visual cortex
- learning algorithm
- global convergence
- convergence speed
- machine learning
- variational inequalities
- objective function
- genetic algorithm
- fuzzy logic