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Multi-step prediction of strong earthquake ground motions and seismic responses of SDOF systems based on EMD-ELM method

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Outgoing claims: the papers this work cites, builds on, or argues with.

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LINEAR QUADRATIC REGULATOR FOR STRUCTURE UNDER ON-LINE PREDICTED FUTURE SEISMIC EXCITATION
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Response of buildings to near-field pulse-like ground motions
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Real-time prediction of near-future seismic excitation adapting AR model to preceding information
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Nonlocal period parameters of frequency content characterization for near‐fault ground motions
inferredcites →https://doi.org/10.1002/eqe.391openalex-snapshot
Near‐fault ground motions, and the response of elastic and inelastic single‐degree‐of‐freedom (SDOF) systems
inferredcites →https://doi.org/10.1002/eqe.49openalex-snapshot
Real‐time model predictive control of structures under earthquakes
inferredcites →https://doi.org/10.1002/eqe.889openalex-snapshot
Non‐structure‐specific intensity measure parameters and characteristic period of near‐fault ground motions
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Ensemble Neurocomputing Based Oil Price Prediction
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Wavelet Based Artificial Intelligence Approaches for Prediction of Hydrological Time Series
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Short-Term Wind Power Prediction Based on Wavelet Decomposition and Extreme Learning Machine
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Extreme learning machine-based predictor for real-time frequency stability assessment of electric power systems
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Short-term prediction method of wind speed series based on fractal interpolation
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Drying of black cumin (Nigella sativa) in a microwave assisted drying system and modeling using extreme learning machine
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Multi-hazard risk assessment of highway bridges subjected to earthquake and hurricane hazards
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A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
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Nonlinear time series forecasting with Bayesian neural networks
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A new short-term load forecast method based on neuro-evolutionary algorithm and chaotic feature selection
inferredcites →https://doi.org/10.1016/j.neucom.2013.01.062openalex-snapshot
Constructive multi-output extreme learning machine with application to large tanker motion dynamics identification
inferredcites →https://doi.org/10.1016/j.neucom.2013.09.010openalex-snapshot
Multi-step-ahead time series prediction using multiple-output support vector regression
inferredcites →https://doi.org/10.1016/j.neunet.2013.12.002openalex-snapshot
Long-term time series prediction using OP-ELM
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Wavelet cross-correlation analysis of wind speed series generated by ANN based models
inferredcites →https://doi.org/10.1016/j.soildyn.2006.11.007openalex-snapshot
Time–frequency representation of earthquake accelerograms and inelastic structural response records using the adaptive chirplet decomposition and empirical mode decomposition
inferredcites →https://doi.org/10.1016/j.soildyn.2010.04.026openalex-snapshot
Interstory drift ratio of building structures subjected to near-fault ground motions based on generalized drift spectral analysis
inferredcites →https://doi.org/10.1016/j.soildyn.2013.01.024openalex-snapshot
A non-parametric wave type based model for real-time prediction of strong ground motion accelerogram
inferredcites →https://doi.org/10.1016/j.soildyn.2015.01.020openalex-snapshot
Multifractal characteristic analysis of near-fault earthquake ground motions
inferredcites →https://doi.org/10.1017/s0305004100030401openalex-snapshot
A generalized inverse for matrices
inferredcites →https://doi.org/10.1063/1.4900556openalex-snapshot
An advanced wind speed multi-step ahead forecasting approach with characteristic component analysis
inferredcites →https://doi.org/10.1088/0957-0233/23/8/085101openalex-snapshot
The study of using an extreme learning machine for rapid concentration estimation in multi-component gas mixtures
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The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
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Predicting chaotic time series with a partial model
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Extreme learning machine: a new learning scheme of feedforward neural networks
inferredcites →https://doi.org/10.1109/tcsii.2013.2268381openalex-snapshot
New Ping-Pong Scheduling for Low-Latency EMD Engine Design in Hilbert–Huang Transform
inferredcites →https://doi.org/10.1142/s179343111450002xopenalex-snapshot
SIMULATION OF EARTHQUAKE RECORDS BY MEANS OF EMPIRICAL MODE DECOMPOSITION AND HILBERT SPECTRAL ANALYSIS
inferredcites →https://doi.org/10.3233/ida-2002-6104openalex-snapshot
Building neural network forecasting models from time series ARIMA models: A procedure and a comparative analysis
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Internet public opinion chaotic prediction based on chaos theory and the improved radial basis function in neural networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A multi-scale attention neural network for sensor location selection and nonlinear structural seismic response prediction
inferred← citeshttps://doi.org/10.1016/j.compstruc.2025.107719openalex-snapshot
A Theory-Guided Encoder-Decoder model for short- and Long-Horizon seismic response prediction of nonlinear Single-Degree-of-Freedom systems
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An improved empirical mode decomposition method using second generation wavelets interpolation
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Improved inception-based neural network for real-time prediction of displacement field in nonlinear seismic response of ultra-high-rise structures
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Multi-step prediction of zero series and gap series of Riemann zeta function
inferred← citeshttps://doi.org/10.1016/j.soildyn.2018.10.034openalex-snapshot
Dimensional response analysis of bilinear SDOF systems under near-fault ground motions with intrinsic length scale
inferred← citeshttps://doi.org/10.1061/(asce)sc.1943-5576.0000722openalex-snapshot
Optimum Coefficient of Friction in FPS for Base Isolation of Building Frames
inferred← citeshttps://doi.org/10.1088/1361-665x/aba539openalex-snapshot
Empirical mode decomposition and its variants: a review with applications in structural health monitoring
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Evaluation of Deep Learning Models for Multi-Step Ahead Time Series Prediction
inferred← citeshttps://doi.org/10.1109/tsmc.2020.3048696openalex-snapshot
Attention-Based Sequence-to-Sequence Learning for Online Structural Response Forecasting Under Seismic Excitation
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Jump Plus AM-FM Mode Decomposition
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General Formulation of Eliminating Unusual Amplitude Growth for Structure-Dependent Integration Algorithms
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Structural performance and damage prediction using a novel digital cloning technique
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On the Evolutionary Characteristics of the Acceleration Records Generated From Linear Time-Variant Systems
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Large Earthquake Magnitude Prediction in Chile with Imbalanced Classifiers and Ensemble Learning
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Analysis of Pressure Fluctuation Characteristics of Central Swirl Combustors Based on Empirical Mode Decomposition
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Earthquake Prediction Using Expert Systems: A Systematic Mapping Study
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