Computing Second Derivatives in Feed-Forward Networks: a Review (1994)

Cached

Download Links

by Wray Buntine , Andreas S. Weigend
Venue:IEEE Transactions on Neural Networks
Citations:27 - 4 self

Documents Related by Co-Citation

4786 Neural Networks for Pattern Recognition – C M Bishop - 1995
398 A Practical Bayesian Framework for Backprop Networks – David J.C. MacKay - 1991
1773 Introduction to the theory of neural computation – J Hertz, A Krogh, R Palmer - 1991
47 Exact calculation of the hessian matrix for the multilayer perceptron – C Bishop - 1992
272 Training feed forward networks with the Marquardt algorithm – Hagan, Menhaj - 1994
334 Increased rates of convergence through learning rate adaptation – R A Jacobs - 1988
10 A Global Optimum Approach for One-Layer Neural Networks – E Castillo, O Fontenla-Romero, A Alonso-Betanzos, B GuijarroBerdinas - 2002
35 First- and Second –Order Methods for Learning: Between Steepest Descent and Newton’s Method – R Battiti - 1992
9 F.: A learning algorithm for multilayered neural networks based on linear least squares problems. Neural Networks 6(1 – F Biegler-Konig, Barmann - 1993
126 First and Second-Order Methods for Learning: between Steepest Descent and Newton's Method – Roberto Battiti - 1992
54 Learning algorithms for connectionist networks: applied gradient methods of nonlinear optimization – R L Watrous - 1987
195 Bayesian Analysis in Expert Systems – D J Spiegelhalter, A P Dawid, S L Lauritzen, R G Cowell - 1993
33 Optimization for Training Neural Nets – E Barnard - 1992
420 Optimal Brain Damage – Yann Le Cun, John S. Denker, Sara A. Solla - 1990
830 Approximation by superpositions of a sigmoidal function – G Cybenko
198 Approximation capabilities of multilayer feedforward networks – K Hornik - 1991
11 Statistically controlled activation weight initialization (scawi – Gian Paolo Drago, Sandro Ridella - 1992
1344 Practical Optimization – P E Gill, W Murray, M H Wright - 1981
5 C.T.: A new method in determining initial weights of feedforward neural networks for training enhancement. Neurocomputing 16(1 – Y F Yam, T W S Chow, Leung - 1997