A learning algorithm for continually running fully recurrent neural networks /
The exact form a gradient-following learning algorithm for completely recurrent networks running in continually sampled time is derived and used as the basis for practical algorithms for temporal supervised learning tasks.These algoritms have(1) the advantage that they do not require a precisely def...
Váldodahkkit: | 257435 Williams, Ronald J., Zipser, David |
---|---|
Materiálatiipa: | |
Fáttát: |
Geahča maid
-
Neural networks for computing /
Dahkki: Conference on Neural Networks for Computing (1986 : Snowbird, Utah), et al.
Almmustuhtton: (1986) -
Neural network principles /
Dahkki: 239126 Harvey, Robert L.
Almmustuhtton: (1994) -
Neural networks : computers with intuition /
Dahkki: 458625 Brunak, Soren, et al.
Almmustuhtton: (1990) -
Fast learning in networks of locally-tuned processing units /
Dahkki: 366307 Moody, John, et al. -
A learning algorithm for multilayered neural networks based on linear least squares problem /
Dahkki: 292090 Biegler-Konig, Friedrich, et al.