Self-scaled conjugate gradient training algorithms

@article{Kostopoulos2009SelfscaledCG,
  title={Self-scaled conjugate gradient training algorithms},
  author={A. E. Kostopoulos and Theodoula N. Grapsa},
  journal={Neurocomputing},
  year={2009},
  volume={72},
  pages={3000-3019}
}
This article presents some efficient training algorithms, based on conjugate gradient optimization methods. In addition to the existing conjugate gradient training algorithms, we introduce Perry’s conjugate gradient method as a training algorithm [A. Perry, A modified conjugate gradient algorithm, Operations Research 26 (1978) 26–43]. Perry’s method has been proven to be a very efficient method in new class of conjugate gradient (CG) methods is proposed, called self-scaled CG methods, which are… CONTINUE READING
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