Optimization and applications of echo state networks with leaky- integrator neurons

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Long-short Term Cross Echo State Network for time series forecasting task

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An investigation of echo state network for EEG-based emotion recognition with deep neural networks

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Classification via tensor decompositions of echo state networks

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Heterogeneous data fusion for the improved non-destructive detection of steel-reinforcement defects using echo state networks

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A double-cycle echo state network topology for time series prediction

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Nonlinear Temperature Control of Additive Friction Stir Deposition Evaluated on an Echo State Network

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Self-Organizing Multiple Readouts for Reservoir Computing

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Growing evolutional deep echo state network

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Multi-module echo state network with variable skip length for chaotic time series prediction

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Exploring low-resource weather forecasting with echo state network-based architectures and satellite data

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Echo state networks with double-reservoir for time-series prediction

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Recurrent Neural Network based control of an Oil Well

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Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting

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Implementing associative memories by Echo State Network for the applications of natural language processing

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Self-organized Reservoirs and Their Hierarchies

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Echo State Network for 3D Motion Pattern Indexing: A Case Study on Tennis Forehands

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Robust Fault Detection by Means of Echo State Neural Network

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Semantic Role Labelling for Robot Instructions using Echo State Networks

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Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing

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Gated Echo State Networks: a preliminary study

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Fast Proposals for Image and Video Annotation Using Modified Echo State Networks

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Broad-ESN Based on Radical Activation Function for Predicting Time Series With Multiple Variables

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Prediction for nonlinear time series by improved deep echo state network based on reservoir states reconstruction

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Delayed self-feedback echo state network for long-term dynamics of hyperchaotic systems

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Multi-scale dynamics by adjusting the leaking rate to enhance the performance of deep echo state networks

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Temporal convolution derived multi-layered reservoir computing

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Detection of Denial of Service Attacks Using Echo State Networks

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Echo State Network Based on Improved Knowledge Distillation for Edge Intelligence

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A Spectrum-Based Approach to Network Analysis Utilizing Laplacian and Signless Laplacian Spectra to Torus Networks

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Enhancing Time Series Predictability via Structure‐Aware Reservoir Computing

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Optimizing Smart Home Energy Forecasting: Unveiling Superiority among RBFNN, ESN, and LSTM

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Photovoltaic Output Prediction Model Based on Echo State Networks with Weather Type Index

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The color phi phenomenon: Not so special, after all?

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ANOVA Method Applied to PEMFC Ageing Forecasting Using an Echo State Network

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Dynamic Frequency–Temperature Characteristic Modeling for Quartz Crystal Resonator Based on Improved Echo State Network

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Interpretable Design of Reservoir Computing Networks Using Realization Theory

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Performance Improvement of FORCE Learning for Chaotic Echo State Networks

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MP-CRJ: Multi-parallel cycle reservoirs with jumps for industrial multivariate time series predictions

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Evolutionary Echo State Network: evolving reservoirs in the Fourier space

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Heterogeneous Reservoir Computing Models for Persian Speech Recognition

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Homeostatic Plasticity for Single Node Delay-Coupled Reservoir Computing

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Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs

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Heave compensation prediction based on echo state network with correntropy induced loss function

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Question Classification with Untrained Recurrent Embeddings

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Multisensor Prognostic of RUL Based on EMD-ESN

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Epileptic seizure detection using Reservoir Computing

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Modeling High-Dimensional Audio Sequences with Recurrent Neural Networks

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Recurrent neural network learning with an application to the control of legged locomotion

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Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems

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Enhancing echo state network with reservoir state selection for time series forecasting

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Echo state and band-pass networks with aqueous memristors: Leaky reservoir computing with a leaky substrate

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Integrating Spectral Methods with Neural Network Architectures: A Review of Hybrid Approaches to Solving Differential Equation

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Serial-Parallel Fractional-Integer-Order Echo State Network for Time Series Prediction

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Recurrent Stochastic Configuration Networks With Hybrid Regularization for Nonlinear Dynamics Modeling

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Recurrent Neural Networks and Long Short-Term Memory Networks

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Reservoir Transfer Learning Through Source Enhancement Reconstructed With Reservoir Stein Discrepancy

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AI ‐Assisted Literature Review: Integrating Visualization and Geometric Features for Insightful Analysis

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A novel reservoir computing for inferring hyperchaotic systems from partial observation

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Controlling reciprocity in binary and weighted networks: A novel density-conserving approach

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Echo State Network (ESN) Based Generator Speed Prediction of Wide Area Signals in a Multimachine Power System

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An echo state network approach to data-driven modeling and optimal control of carbonate reservoirs with uncertainty fields

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Reservoir computing with a random memristor crossbar array

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Real-time ocean wave prediction in time domain with autoregression and echo state networks

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Noise robust continuous digit recognition with reservoir-based acoustic models

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Decouple Adversarial Capacities with Dual-Reservoir Network

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Re-visiting the echo state property

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

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Parameters relation of the Leaky integrator echo state network for time series

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