Comparison of Feed-Forward Neural Network training algorithms for oscillometric blood pressure estimation

@article{Forouzanfar2010ComparisonOF,
  title={Comparison of Feed-Forward Neural Network training algorithms for oscillometric blood pressure estimation},
  author={Mohamad Forouzanfar and Hilmi R. Dajani and Voicu Groza and Miodrag Bolic and Sreeraman Rajan},
  journal={4th International Workshop on Soft Computing Applications},
  year={2010},
  pages={119-123}
}
Feed-Forward Neural Network (FFNN) has recently been utilized to estimate blood pressure (BP) from the oscillometric measurements. However, there has been no study till now that consolidated the role played by the different neural network (NN) training algorithms in affecting the BP estimates. This paper compares the estimation errors in the BP due to ten different training algorithms belonging to three classes: steepest descent (with variable learning rate, with variable learning rate and… CONTINUE READING

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