Theoretical analysis of batch and on-line training for gradient descent learning in neural networks

Author:

Nakama Takéhiko

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference23 articles.

1. Neural Network Learning Theoretical Foundations;Anthony,1999

2. New results on recurrent network training: unifying the algorithms and accelerating convergence;Atiya;IEEE Transactions on Neural Networks,2000

3. S. Becker, Y. LeCun, Improving the convergence of backpropagation learning with second order methods, in: Proceedings of the 1988 Connectionist Models Summer School, Los Altos, CA, 1989.

4. Neural Networks for Speech and Sequence Recognition;Bengio,1996

5. Neuro-Dynamic Programming;Bertsekas,1996

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