Nonlinear adaptive prediction of speech with a pipelined recurrent neural network
New learning algorithms for an adaptive nonlinear forward predictor that is based on a pipelined recurrent neural network (PRNN) are presented. A computationally efficient gradient descent (GD) learning algorithm, together with a novel extended recursive least squares (ERLS) learning algorithm, are...
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Main Authors: | , |
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Format: | Default Article |
Published: |
1998
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Subjects: | |
Online Access: | https://hdl.handle.net/2134/5817 |
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