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[PDF] Top 20 Prediction of Landslide Displacement using NARX Model

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Prediction of Landslide Displacement using NARX Model

Prediction of Landslide Displacement using NARX Model

... of prediction results and for determination of efficacy of the network present in this ...designed using newrb function which designs a RBF network starting with 0 neurons in hidden layer and at each step ... See full document

6

Landslide displacement prediction using the GA-LSSVM model and time series analysis: a case study of Three Gorges Reservoir, China

Landslide displacement prediction using the GA-LSSVM model and time series analysis: a case study of Three Gorges Reservoir, China

... Predicting landslide displacement is challenging, but accurate predictions can prevent casualties and economic ...cumulative displacement of landslide into a trend component and a periodic ... See full document

18

Modelling and Prediction of Global Magnetic Disturbance in Near-Earth Space: a Case Study for Kp Index using NARX Models

Modelling and Prediction of Global Magnetic Disturbance in Near-Earth Space: a Case Study for Kp Index using NARX Models

... nificant model terms that are shared by all the models, regardless of the time horizon of ...of prediction performance and correlation coefficient relat- ing to our models are slightly lower than those ... See full document

18

System identification and data-driven forecasting of AE index and prediction uncertainty analysis using a new cloud-NARX model

System identification and data-driven forecasting of AE index and prediction uncertainty analysis using a new cloud-NARX model

... cloud-NARX model was applied to the modeling and forecasting of AE ...index prediction. The correlation coefficient between averaged prediction and observation is ...and prediction ... See full document

17

Study on displacement prediction of landslide based on neural network

Study on displacement prediction of landslide based on neural network

... predict landslide displacement, and normalizes the input ...Bazimen landslide data from January in 2004 to November in 2011 has a total of ...data model for ... See full document

8

Simultaneous state–parameter estimation of rainfall-induced landslide displacement using data assimilation

Simultaneous state–parameter estimation of rainfall-induced landslide displacement using data assimilation

... a landslide is a time-varying process, so the model parameters are required to be adjusted over ...the model parameters are generally given by known information, which will result in discrepancies ... See full document

12

Sensitivity based selection of inputs and delays for NARX models

Sensitivity based selection of inputs and delays for NARX models

... (NARX) model is ...for prediction of gas consumption of a simulated heating for an office ...the NARX network without any significant performance ...for NARX than for simple feedforward ... See full document

6

Application of GA–SVM method with parameter optimization for landslide development prediction

Application of GA–SVM method with parameter optimization for landslide development prediction

... Abstract. Prediction of the landslide development process is always a hot issue in landslide ...for landslide displacement series prediction have been ...in landslide ... See full document

9

FCM BPSO: ENERGY EFFICIENT TASK BASED LOAD BALANCING IN CLOUD COMPUTING

FCM BPSO: ENERGY EFFICIENT TASK BASED LOAD BALANCING IN CLOUD COMPUTING

... with NARX (Nonlinear Autoregressive with eXogenous input) based ANN (Artificial Neural ...Recurrent NARX-ANN models are developed and trained with dynamic parameter settings to find the optimum network ... See full document

13

Prediction of high airway pressure using a non-linear autoregressive model of pulmonary mechanics

Prediction of high airway pressure using a non-linear autoregressive model of pulmonary mechanics

... (NARX) model was identified on one or more adjacent PEEP steps, and extrapolated to predict PIP at 2, 4, and 6 cmH 2 O PEEP ...made using the first order model of pulmonary mechanics ...to ... See full document

12

Prediction of gestational age by ultrasonogram using linear regression model

Prediction of gestational age by ultrasonogram using linear regression model

... This study was carried out to predict the gestational age based on ultrasound measurements of fetal parameters using linear regression model. Patricia M .Dietz et al ., (2007 in their study provided ... See full document

7

Shallow landslide prediction and analysis with risk assessment using a spatial model in a coastal region in the state of São Paulo, Brazil

Shallow landslide prediction and analysis with risk assessment using a spatial model in a coastal region in the state of São Paulo, Brazil

... through landslide-scar maps, that is, a validation technique commonly used in related studies (Vieira et ...of landslide-scars mapped or ...perform landslide-scar mapping for this study, but we ... See full document

20

Landslide Detection Using Wireless Sensor Network in Disaster Monitoring

Landslide Detection Using Wireless Sensor Network in Disaster Monitoring

... To save peoples life earlier the disaster is detected ex: Landslide. To predict the disaster we need live weather information which is fetched from a JAVA API using city id or city name and stored in the ... See full document

5

Assessment methodology for the prediction of landslide dam hazard

Assessment methodology for the prediction of landslide dam hazard

... between landslide and river ...both landslide and river, including variables referred to the geometric, kinematic and dynamic characteristics of two systems at the same ...of landslide dam ... See full document

11

A dynamic landslide hazard assessment system for Central America and Hispaniola

A dynamic landslide hazard assessment system for Central America and Hispaniola

... This model relies on TRMM’s TMPA-RT data inputs but GPM’s IMERG data will be incorporated into this system in the near future, which will extend the latitudinal boundaries of the precipitation information to 65 ◦ ... See full document

16

Optimal estimator for assessing landslide model performance

Optimal estimator for assessing landslide model performance

... (i.e. landslide susceptibility map), we generate artifi- cial simulations based on given actual landslide ...each landslide map, we utilize a generator with dual- parameter, “a” and “b”, to create ... See full document

9

Using matrix assisted laser desorption ionisation mass spectrometry (MALDI-MS) profiling in order to predict clinical outcomes of patients with heart failure

Using matrix assisted laser desorption ionisation mass spectrometry (MALDI-MS) profiling in order to predict clinical outcomes of patients with heart failure

... for prediction of clinical outcomes in patients with ...biomarker model with fourteen peptides (m/z ...by using a logistic regression in which all these peptides were entered simultaneously ... See full document

9

A unified wavelet-based modelling framework for non-linear system identification: the WANARX model structure

A unified wavelet-based modelling framework for non-linear system identification: the WANARX model structure

... wavelet-based NARX model structure, which incorporates wavelet networks, wavelet series and wavelet mutiresolution decompositions, has been introduced for nonlinear input-output system ...WANARX ... See full document

27

Application of GPS in prediction of potential landslide locations

Application of GPS in prediction of potential landslide locations

... This tebhnology increases the accuracy, productivity, monitoring capability, rapidity and economy with respect to size of the study area and 'ii is often b"1., thun classical geodetic su[r] ... See full document

10

A novel logistic-NARX model as a classifier for dynamic binary classification

A novel logistic-NARX model as a classifier for dynamic binary classification

... a model using the original dataset was ...the model does not perform well ...and model space, and in this study the 5 most important principal components (PCs) were used to represent the ... See full document

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