24
Views
8
CrossRef citations to date
0
Altmetric
Original Articles

Stochastic sensitivity analysis method for neural network learning

Pages 703-711 | Received 11 Feb 1994, Published online: 16 May 2007

REFERENCES

  • COSTANZA , V. , and SEINFELD , J. H. , 1981 , Stochastic sensitivity analysis in chemical kinetics . Journal of Chemical Physics , 74 , 3852 .
  • DACOL , D. K. , and RABITZ , H. , 1984 , Sensitivity analysis of stochastic kinetic models . Journal of Mathematical Physics , 25 , 2716 .
  • KODA , M. , 1981 , Sensitivity analysis of time-delay systems . International Journal of Systems Science , 12 , 1389 ; 1982a, Sensitivity analysis of singularly perturbed systems. International Journal of Systems Science, 13, 909; 1982b, Sensitivity analysis of atmospheric diffusion equation. Atmospheric Environment, 16, 2595; 1988 Sensitivity analysis of descriptor distributed parameter systems. International Journal of Systems Science, 19, 2103; 1992, Sensitivity analysis of stochastic dynamical systems. International Journal of Systems Science, 23, 2187 .
  • KODA , M. , and SEINFELD , J. H. , 1982 , Sensitivity analysis of distributed parameter systems . IEEE Transactions on Automatic Control , 27 , 951 .
  • KODA , M. , DOGRU , A. , and SEINFELD , J. H. , 1979 , Sensitivity analysis of partial differential equations with application to reaction and diffusion processes . Journal of Computational Physics , 30 , 259 .
  • MATSUOKA , K. , 1993 , Learning and evolution of neural nets . Journal of SICE , 32 , 843 . ( in Japanese )
  • MATSUOKA , K. , and TOKUNARI , T. , 1992 , Learning of neural nets that involve spontaneous random signals . Proceedings of SICE “92, p. 805 .
  • PEARLMUTTER , B. A. , 1989 , Learning state space trajectories in recurrent neural network . Neural Computation , 1 , 263 .
  • PINEDA , F. J. , 1987 , Generalization of back-propagation to recurrent neural network . Physical Review Letters , 59 , 2229 .
  • RUMELHART , D. E. , HINTON , G. E. , and WILLIAMS , R. J. , 1986 , Learning representation by error propagation . Parallel Distributed Processing , Vol 1 , edited by D. E. RUMELHART, J. L. MCCLELLAND, and the PDP Research Group ( Cambridge , Mass . MIT Press ), p. 318 .
  • SATO , M. , 1990 , A learning algorithm to teach spatio-temporal patterns to recurrent neural networks . Biological Cybernetics , 62 , 259 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.