Neural networks for the prediction of slope movements

 

The prediction of slope movements is more and more important with increasing land exploitation. As a consequence, prediction models need to be developped for land managment.

Slope movements depend on several factors as erosion or rainfall. Their prediction is always difficult because of the intrinsec variability of governing factors and the complexity of the relationship existing between such factors.

Neural networks represent an useful tool establish a relationship between pore pressures and slope displacements.

 

The prediction of slope movements is more and more important with increasing land exploitation. As a consequence, prediction models need to be developped for land managment.

Slope movements depend on several factors as erosion or rainfall. Their prediction is always difficult because of the intrinsec variability of governing factors and the complexity of the relationship existing between such factors.

Neural networks represent an useful tool establish a relationship between pore pressures and slope displacements.

An application concerning the Salledes embankment is shortly described in the paper.


  The pred …


AUTORI: Mayoraz F., Cornu T., Vulliet L.
RIG ANNO:1998 NUMERO:1
Numero di pagine: 43


Allegato: https://associazionegeotecnica.it/wp-content/uploads/2010/05/RIG_1999_1_43.pdf
Allegato:
Articolo completo: https://associazionegeotecnica.it/wp-content/uploads/2010/05/RIG_1999_1_43.pdf