Adaptive neural nets filter using a recursive Levenberg-Marquardt search direction

@article{Ngia1998AdaptiveNN,
  title={Adaptive neural nets filter using a recursive Levenberg-Marquardt search direction},
  author={L.S.H. Ngia and Johan Sjoberg and Mats Viberg},
  journal={Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)},
  year={1998},
  volume={1},
  pages={697-701 vol.1}
}
This paper proposes a recursive Levenberg-Marquardt (LM) search direction as the training algorithm for non-linear adaptive filters, which use multi-layer feed forward neural nets as the filter structures. The neural nets can be considered as a class of non-linear adaptive filters with transversal or recursive filter structures. In the off-line training, the LM method is regarded as an intermediate method between the steepest descent (SD) and Gauss-Newton (GN) methods, and it has better… CONTINUE READING
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