Les perceptrons multicouches de la rÃ©gression non linÃ©aire aux problÃ¨mes inverses

Badran, Fouad; Thiria, Sylvie

HAL, hal-01125733 / Harvested from HAL

Résumé

The problem of nonlinear least square regression using multi-layered perceptrons is addressed in this paper. A general formulation using maximum likelihood is given and a particular attention is paid to algorithm accounting for uncertainties. The generalization to density estimation is given. In the second part of the paper, a general framework allows to modelize general inverse problems.

Publié le : 2002-07-04
Classification: [INFO]Computer Science [cs], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]

@article{hal-01125733,
     author = {Badran, Fouad and Thiria, Sylvie},
     title = {Les perceptrons multicouches de la r\~A\copyright gression non lin\~A\copyright aire aux probl\~A\"{}mes inverses},
     journal = {HAL},
     volume = {2002},
     number = {0},
     year = {2002},
     language = {en},
     url = {http://dml.mathdoc.fr/item/hal-01125733}
}

Badran, Fouad; Thiria, Sylvie. Les perceptrons multicouches de la rÃ©gression non linÃ©aire aux problÃ¨mes inverses. HAL, Tome 2002 (2002) no. 0, . http://gdmltest.u-ga.fr/item/hal-01125733/