Training Echo State Networks with Regularization Through Dimensionality Reduction

Why neurons mix: high dimensionality for higher cognition

(2016) Stefano Fusi et al.   CURRENT OPINION IN NEUROBIOLOGY

Functional echo state network for time series classification

(2016) Qianli Ma et al.   INFORMATION SCIENCES

An online generalized eigenvalue version of Laplacian Eigenmaps for visual big data

(2016) Zeeshan Khawar Malik et al.   NEUROCOMPUTING

Nonlinear time-series analysis revisited

(2015) Elizabeth Bradley et al.   CHAOS

Prediction of telephone calls load using Echo State Network with exogenous variables

(2015) Filippo Maria Bianchi et al.   NEURAL NETWORKS

Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition

(2015) Filippo Maria Bianchi et al.   IEEE Access

Novel Biologically Inspired Approaches to Extracting Online Information from Temporal Data

(2014) Zeeshan Khawar Malik et al.   Cognitive Computation

Short-term electric load and temperature forecasting using wavelet echo state networks with neural reconstruction

(2013) Ali Deihimi et al.   ENERGY

Entropy-Relevant Dimensions in the Kernel Feature Space: Cluster-Capturing Dimensionality Reduction

(2013) Robert Jenssen   IEEE SIGNAL PROCESSING MAGAZINE

Fuzzy Echo State Neural Networks and Funnel Dynamic Surface Control for Prescribed Performance of a Nonlinear Dynamic System

(2013) Seong I. Han et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Context-dependent computation by recurrent dynamics in prefrontal cortex

(2013) Valerio Mante et al.   NATURE

Application of echo state networks in short-term electric load forecasting

(2012) Ali Deihimi et al.   ENERGY

A novel hybridization of echo state networks and multiplicative seasonal ARIMA model for mobile communication traffic series forecasting

(2012) Yu Peng et al.   NEURAL COMPUTING & APPLICATIONS

Chaotic Time Series Prediction Based on a Novel Robust Echo State Network

(2012) Decai Li et al.   IEEE Transactions on Neural Networks and Learning Systems

Information processing in echo state networks at the edge of chaos

(2011) Joschka Boedecker et al.   THEORY IN BIOSCIENCES

Compressed and Privacy-Sensitive Sparse Regression

(2009) Shuheng Zhou et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Kernel Entropy Component Analysis

(2009) R. Jenssen   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Pruning and regularization in reservoir computing

(2009) X. Dutoit et al.   NEUROCOMPUTING

Utilization of Echo State Networks for Differentiating Source and Nonlinear Load Harmonics in the Utility Network

(2008) Joy Mazumdar et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS