Powell's dogleg trust-region steps with the quasi-Newton augmented Hessian for neural nonlinear least-squares learning

@inproceedings{Mizutani1999PowellsDT,
  title={Powell's dogleg trust-region steps with the quasi-Newton augmented Hessian for neural nonlinear least-squares learning},
  author={Eiji Mizutani},
  booktitle={IJCNN},
  year={1999}
}
Highly Cited
This paper has 20 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 10 extracted citations

A New Learning Algorithm Based on Trust Region Optimization Theory for Neural Networks

2008 International Conference on Computer Science and Software Engineering • 2008

The robustness of combination of sigmoid function wavelet neural network

2008 Chinese Control and Decision Conference • 2008
View 1 Excerpt

Evolving color recipes

IEEE Trans. Systems, Man, and Cybernetics, Part C • 2000
View 1 Excerpt

Similar Papers

Loading similar papers…