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...
Main Authors: | 257435 Williams, Ronald J., Zipser, David |
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