A Subgrouping Strategy that Reduces Complexity and Speeds Up Learning in Recurrent Networks

@article{Zipser1989ASS,
  title={A Subgrouping Strategy that Reduces Complexity and Speeds Up Learning in Recurrent Networks},
  author={David Zipser},
  journal={Neural Computation},
  year={1989},
  volume={1},
  pages={552-558}
}
An algorithm, called RTRL, for training fully recurrent neural networks has recently been studied by Williams and Zipser (1989a, b). Whereas RTRL has been shown to have great power and generality, it has the disadvantage of requiring a great deal of computation time. A technique is described here for reducing the amount of computation required by RTRL… CONTINUE READING