## Pipelined Recurrent Fuzzy Neural Networks for Nonlinear Adaptive Speech Prediction

- Dimitris G. Stavrakoudis, Ioannis B. Theocharis
- IEEE Transactions on Systems, Man, and…
- 2007

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@article{Mandic1999TowardAO, title={Toward an optimal PRNN-based nonlinear predictor}, author={Danilo P. Mandic and Jonathon A. Chambers}, journal={IEEE transactions on neural networks}, year={1999}, volume={10 6}, pages={1435-42} }

- Published 1999 in IEEE Trans. Neural Networks
DOI:10.1109/72.809088

We present an approach for selecting optimal parameters for the pipelined recurrent neural network (PRNN) in the paradigm of nonlinear and nonstationary signal prediction. Although there has recently been progress in terms of algorithms for training the PRNN, no account has been made of some inherent features of the PRNN. We therefore provide a study of the role of nesting, which is inherent to the PRNN architecture. The corresponding number of nested modules needed for a certain prediction… CONTINUE READING