4.7 Article

Extreme learning machine for the displacement prediction of landslide under rainfall and reservoir level

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

A new short-term load forecasting method of power system based on EEMD and SS-PSO

Zhigang Liu et al.

NEURAL COMPUTING & APPLICATIONS (2014)

Article Engineering, Geological

Displacement prediction in colluvial landslides, Three Gorges Reservoir, China

Juan Du et al.

LANDSLIDES (2013)

Article Engineering, Environmental

Neural network simulation of spring flow in karst environments

Evan K. Paleologos et al.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2013)

Article Engineering, Environmental

Indian summer monsoon rainfall prediction using artificial neural network

Pritpal Singh et al.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2013)

Article Computer Science, Artificial Intelligence

Deformation Prediction of Landslide Based on Improved Back-propagation Neural Network

Huangqiong Chen et al.

COGNITIVE COMPUTATION (2013)

Article Green & Sustainable Science & Technology

Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model

Zhenhai Guo et al.

RENEWABLE ENERGY (2012)

Article Geosciences, Multidisciplinary

Susceptibility analysis of shallow landslides source areas using physically based models

Giuseppe Sorbino et al.

NATURAL HAZARDS (2010)

Article Computer Science, Interdisciplinary Applications

A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses

Biswajeet Pradhan et al.

COMPUTERS ENVIRONMENT AND URBAN SYSTEMS (2010)

Article Mathematics, Interdisciplinary Applications

ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD

Zhaohua Wu et al.

ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS (2009)

Article Geography, Physical

Artificial neural networks and cluster analysis in landslide susceptibility zonation

C. Melchiorre et al.

GEOMORPHOLOGY (2008)

Article Engineering, Environmental

Multi-scale support vector algorithms for hot spot detection and modelling

Alexei Pozdnoukhov et al.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2008)

Article Geosciences, Multidisciplinary

Validation of landslide hazard assessment by means of GPS monitoring technique - a case study in the Dolomites (Eastern Alps, Italy)

F. Tagliavini et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2007)

Article Computer Science, Artificial Intelligence

Extreme learning machine: Theory and applications

Guang-Bin Huang et al.

NEUROCOMPUTING (2006)

Article Computer Science, Artificial Intelligence

Universal approximation using incremental constructive feedforward networks with random hidden nodes

Guang-Bin Huang et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2006)

Article Geography, Physical

Probabilistic landslide hazard assessment at the basin scale

F Guzzetti et al.

GEOMORPHOLOGY (2005)

Article Computer Science, Artificial Intelligence

Evolutionary extreme learning machine

QY Zhu et al.

PATTERN RECOGNITION (2005)

Article Computer Science, Artificial Intelligence

Learning capability and storage capacity of two-hidden-layer feedforward networks

GB Huang

IEEE TRANSACTIONS ON NEURAL NETWORKS (2003)

Article Geography, Physical

A nonlinear dynamical model of landslide evolution

SQ Qin et al.

GEOMORPHOLOGY (2002)

Article Radiology, Nuclear Medicine & Medical Imaging

Application of the mutual information criterion for feature selection in computer-aided diagnosis

GD Tourassi et al.

MEDICAL PHYSICS (2001)