T-distributed stochastic neighbor embedding echo state network with state matrix dimensionality reduction for time series prediction

Error-Driven Chained Multiple-Subnetwork Echo State Network for Time-Series Prediction

(2022) Jian Huang et al.   IEEE SENSORS JOURNAL

Tensor product‐based model transformation approach to tower crane systems modeling

(2021) Elena‐Lorena Hedrea et al.   ASIAN JOURNAL OF CONTROL

Hierarchical delay-memory echo state network: A model designed for multi-step chaotic time series prediction

(2021) Xiaodong Na et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Time series forecasting with feedforward neural networks trained using particle swarm optimizers for dynamic environments

(2020) Salihu A. Abdulkarim et al.   NEURAL COMPUTING & APPLICATIONS

Effective electricity load forecasting using enhanced double-reservoir echo state network

(2020) Lu Peng et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A small-world topology enhances the echo state property and signal propagation in reservoir computing

(2019) Yuji Kawai et al.   NEURAL NETWORKS

Traffic flow prediction based on combination of support vector machine and data denoising schemes

(2019) Jinjun Tang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Prediction of Air Pollution Concentration Based on mRMR and Echo State Network

(2019) Xinghan Xu et al.   Applied Sciences-Basel

Chaotic time series prediction using a novel Echo State Network model with Inputs Reconstruction, Bayesian Ridge Regression, and Independent Component Analysis

(2019) Hoang Minh Nguyen et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Automatic ECG arrhythmias classification scheme based on the conjoint use of the multi-layer perceptron neural network and a new improved metaheuristic approach

(2019) Fatiha Bouaziz et al.   IET Signal Processing

Optimizing simple deterministically constructed cycle reservoir network with a Redundant Unit Pruning Auto-Encoder algorithm

(2019) Heshan Wang et al.   NEUROCOMPUTING

Laplacian Echo State Network for Multivariate Time Series Prediction

(2018) Min Han et al.   IEEE Transactions on Neural Networks and Learning Systems

Hybrid Regularized Echo State Network for Multivariate Chaotic Time Series Prediction

(2018) Meiling Xu et al.   IEEE Transactions on Cybernetics

Design of deep echo state networks

(2018) Claudio Gallicchio et al.   NEURAL NETWORKS

Structure optimization for echo state network based on contribution

(2018) Dingyuan Li et al.   TSINGHUA SCIENCE AND TECHNOLOGY

Deep belief echo-state network and its application to time series prediction

(2017) Xiaochuan Sun et al.   KNOWLEDGE-BASED SYSTEMS

Training Echo State Networks with Regularization Through Dimensionality Reduction

(2017) Sigurd Løkse et al.   Cognitive Computation

Growing Echo-State Network With Multiple Subreservoirs

(2017) Junfei Qiao et al.   IEEE Transactions on Neural Networks and Learning Systems

Forward and backward least angle regression for nonlinear system identification

(2015) Long Zhang et al.   AUTOMATICA

Optimizing the echo state network with a binary particle swarm optimization algorithm

(2015) Heshan Wang et al.   KNOWLEDGE-BASED SYSTEMS

Improved simple deterministically constructed Cycle Reservoir Network with Sensitive Iterative Pruning Algorithm

(2014) Heshan Wang et al.   NEUROCOMPUTING

Training feedforward neural networks with dynamic particle swarm optimisation

(2012) A. S. Rakitianskaia et al.   Swarm Intelligence

Echo State Gaussian Process

(2011) S. P. Chatzis et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Minimum Complexity Echo State Network

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