Multivariate Chaotic Time Series Prediction Using a Wavelet Diagonal Echo State Network

No abstract is available for this paper.

• Publication year

  2015

• Venue

  International Conference on Mathematics and Computers in Sciences and in Industry

• Publication date

  2015-08-17

• Fields of study

  Mathematics, Physics, Computer Science, Engineering

• Identifiers
  DOI 10.1109/MCSI.2015.44
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Delay-Based Reservoir Computing: Noise Effects in a Combined Analog and Digital Implementation

  2015cited by this paper
• Evolutionary pre-training for CRJ-type reservoir of echo state networks

  2015influential reference
• Effect of hybrid circle reservoir injected with wavelet-neurons on performance of echo state network

  2014cited by this paper
• Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS

  2014cited by this paper
• PSO-MISMO Modeling Strategy for MultiStep-Ahead Time Series Prediction

  2013cited by this paper
• Model Predictive Control of Unknown Nonlinear Dynamical Systems Based on Recurrent Neural Networks

  2012cited by this paper
• Reservoir Computing Trends

  2012cited by this paper
• Locally adaptive factor processes for multivariate time series

  2012cited by this paper
• Adaptive Dynamic Programming for Control

  2012cited by this paper
• Data-Core-Based Fuzzy Min–Max Neural Network for Pattern Classification

  2011cited by this paper
• A novel hybridization of artificial neural networks and ARIMA models for time series forecasting

  2011cited by this paper
• Minimum Complexity Echo State Network

  2011cited by this paper
• Echo State Gaussian Process

  2011influential reference
• Architectural and Markovian factors of echo state networks

  2011influential reference
• A comparative study of Reservoir Computing strategies for monthly time series prediction

  2010cited by this paper
• Time Series Prediction Using Support Vector Machines: A Survey

  2009cited by this paper
• Design and Analysis of High-Capacity Associative Memories Based on a Class of Discrete-Time Recurrent Neural Networks

  2008cited by this paper
• Support Vector Echo-State Machine for Chaotic Time-Series Prediction

  2007cited by this paper
• Generalized predictive control based on self-recurrent wavelet neural network for stable path tracking of mobile robots: adaptive learning rates approach

  2006cited by this paper
• Time-series prediction using a local linear wavelet neural network

  2006cited by this paper
• Wavelet Neural Networks for Nonlinear Time Series Analysis

  2004influential reference
• Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication

  2004cited by this paper
• A hierarchical optimization neural network for large-scale dynamic systems

  2001cited by this paper
• Wavelet neural networks for function learning

  1995cited by this paper

• Long-term prediction of time series based on VMD cyclic reservoir with random jumps network

  2020cites this paper
• Chaotic time series analysis approach for prediction blood glucose concentration based on echo state networks

  2018cites this paper