Artificial Neural Networks and Grey Systems for the Prediction of Slope Stability

Author： Lu P.   Rosenbaum M. S.  

Publisher： Springer Publishing Company

ISSN： 0921-030X

Source： Natural Hazards, Vol.30, Iss.3, 2003-11, pp. : 383-398

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Heterogeneous Space–Time Artificial Neural Networks for Space–Time Series Prediction

By  

TRANSACTIONS IN GIS (ELECTRONIC), Vol. 22, Iss. 1, 2018-02 ,pp. : 183-201

John Wiley & Sons Inc

Access to resources Recommend Favorite

Prediction of YoungModulus of coal using artificial neural networks in Qinshui Basin, China

By  

ACTA GEOLOGICA SINICA (ENGLISH EDITION) (ELECTRONIC), Vol. 89, Iss. s1, 2015-09 ,pp. : 339-341

John Wiley & Sons Inc

Access to resources Recommend Favorite

Application of artificial neural networks as a tool for moisture prediction in microbially colonized halite in the Atacama Desert

By  

JOURNAL OF GEOPHYSICAL RESEARCH: BIOGEOSCIENCES, Vol. 120, Iss. 6, 2015-06 ,pp. : 1018-1026

John Wiley & Sons Inc

Access to resources Recommend Favorite

Microgenetic algorithms and artificial neural networks to assess minimum data requirements for prediction of pesticide concentrations in shallow groundwater on a regional scale

By  

WATER RESOURCES RESEARCH, Vol. 44, Iss. 5, 2008-05 ,pp. : n/a-n/a

John Wiley & Sons Inc

Access to resources Recommend Favorite

Drought projection based on a hybrid drought index using Artificial Neural Networks

By  

HYDROLOGICAL PROCESSES (ELECTRONIC), Vol. 29, Iss. 11, 2015-05 ,pp. : 2635-2648

John Wiley & Sons Inc

Access to resources Recommend Favorite