Time Series Forecasting with an EMD-LSSVM-PSO Ensemble Adaptive Learning Paradigm

No abstract is available for this paper.

• Publication year

  2018

• Venue

  Proceedings of the 2018 International Conference on Computational Intelligence and Intelligent Systems

• Publication date

  2018-11-17

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1145/3293475.3293477
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Particle Swarm Optimization

  2019influential reference
• A multivariate short-term traffic flow forecasting method based on wavelet analysis and seasonal time series

  2018cited by this paper
• Time series forecasting by recurrent product unit neural networks

  2018cited by this paper
• Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms

  2017cited by this paper
• Time series forecasting based on wavelet decomposition and feature extraction

  2017cited by this paper
• Random forests-based extreme learning machine ensemble for multi-regime time series prediction

  2017cited by this paper
• Online recurrent extreme learning machine and its application to time-series prediction

  2017cited by this paper
• A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting

  2016cited by this paper
• Fractional Order Darwinian Particle Swarm Optimization

  2016cited by this paper
• Multiobjective clustering analysis using particle swarm optimization

  2016cited by this paper
• System reliability analysis of slopes using least squares support vector machines with particle swarm optimization

  2016cited by this paper
• Fractional Order Darwinian Particle Swarm Optimization: Applications and Evaluation of an Evolutionary Algorithm

  2015cited by this paper
• A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting

  2015cited by this paper
• Least square support vector machine in primal space

  2014cited by this paper
• Singular spectrum analysis and forecasting of hydrological time series

  2006cited by this paper
• A Generalized BDS Statistic

  2004cited by this paper
• Least Squares Support Vector Machines

  2002cited by this paper
• The Nature of Statistical Learning Theory

  2000cited by this paper
• Nonlinear dynamics , delay times , and embedding windows

  1999cited by this paper
• Nonlinear dynamics, delay times, and embedding windows

  1999cited by this paper
• The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

  1998cited by this paper
• A modified particle swarm optimizer

  1998cited by this paper
• Detecting strange attractors in turbulence

  1981cited by this paper
• Geometry from a Time Series

  1980cited by this paper

• D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting

  2024cites this paper
• A distributed EMDN-GRU model on Spark for passenger waiting time forecasting

  2022cites this paper