The combination of circle topology and leaky integrator neurons remarkably improves the performance of echo state network on time series prediction

Visibility Graph from Adaptive Optimal Kernel Time-Frequency Representation for Classification of Epileptiform EEG

(2017) Zhong-Ke Gao et al.   International Journal of Neural Systems

Optimal path-finding through mental exploration based on neural energy field gradients

(2016) Yihong Wang et al.   Cognitive Neurodynamics

Complex network analysis of time series

(2016) Zhong-Ke Gao et al.   EPL

An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm

(2016) Lin Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Four-Sector Conductance Method for Measuring and Characterizing Low-Velocity Oil–Water Two-Phase Flows

(2016) Zhongke Gao et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Can the activities of the large scale cortical network be expressed by neural energy? A brief review

(2015) Rubin Wang et al.   Cognitive Neurodynamics

Multivariate weighted complex network analysis for characterizing nonlinear dynamic behavior in two-phase flow

(2015) Zhong-Ke Gao et al.   EXPERIMENTAL THERMAL AND FLUID SCIENCE

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

(2015) Filippo Maria Bianchi et al.   NEURAL NETWORKS

A novel model of leaky integrator echo state network for time-series prediction

(2015) Shu-Xian Lun et al.   NEUROCOMPUTING

A Priori Data-Driven Multi-Clustered Reservoir Generation Algorithm for Echo State Network

(2015) Xiumin Li et al.   PLoS One

Computational modeling of neural plasticity for self-organization of neural networks

(2014) Joseph Chrol-Cannon et al.   BIOSYSTEMS

Energy coding in neural network with inhibitory neurons

(2014) Ziyin Wang et al.   Cognitive Neurodynamics

Effect of hybrid circle reservoir injected with wavelet-neurons on performance of echo state network

(2014) Hongyan Cui et al.   NEURAL NETWORKS

Design Strategies for Weight Matrices of Echo State Networks

(2012) Tobias Strauss et al.   NEURAL COMPUTATION

A Developmental Approach to Structural Self-Organization in Reservoir Computing

(2012) Jun Yin et al.   IEEE Transactions on Autonomous Mental Development

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

Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout

(2011) Dmitriy Shutin et al.   NEURAL COMPUTATION

A directed weighted complex network for characterizing chaotic dynamics from time series

(2011) Zhong-Ke Gao et al.   NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS

Minimum Complexity Echo State Network

(2010) A Rodan et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Echo state networks with filter neurons and a delay&sum readout

(2009) Georg Holzmann et al.   NEURAL NETWORKS

Short-term stock price prediction based on echo state networks

(2008) Xiaowei Lin et al.   EXPERT SYSTEMS WITH APPLICATIONS