Xianshuang Yao

Orcid: 0000-0003-1430-7938

According to our database1, Xianshuang Yao authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-state delayed echo state network with empirical wavelet transform for time series prediction.
Appl. Intell., March, 2024

Stability analysis of linear systems with multiple time-varying delays via a region partitioning approach and reciprocally convex combination lemmas.
Commun. Nonlinear Sci. Numer. Simul., 2024

Fractional-integer-order echo state network for time series prediction.
Appl. Soft Comput., 2024

Broad fractional-order echo state network with slime mould algorithm for multivariate time series prediction.
Appl. Soft Comput., 2024

2022
Design of PID Controller Based on Echo State Network With Time-Varying Reservoir Parameter.
IEEE Trans. Cybern., 2022

Echo state network with multiple delayed outputs for multiple delayed time series prediction.
J. Frankl. Inst., 2022

2021
Deep Echo State Network With Multiple Adaptive Reservoirs for Time Series Prediction.
IEEE Trans. Cogn. Dev. Syst., 2021

A stability criterion for discrete-time fractional-order echo state network and its application.
Soft Comput., 2021

Corrigendum to "Controller Design Based on Echo State Network with Delay Output for Nonlinear System".
Complex., 2021

2020
Fractional Order Echo State Network for Time Series Prediction.
Neural Process. Lett., 2020

Controller Design Based on Echo State Network with Delay Output for Nonlinear System.
Complex., 2020

2019
Prediction and identification of discrete-time dynamic nonlinear systems based on adaptive echo state network.
Neural Networks, 2019

Broad echo state network for multivariate time series prediction.
J. Frankl. Inst., 2019

A novel photovoltaic power forecasting model based on echo state network.
Neurocomputing, 2019

An intelligent interconnected network with multiple reservoir computing.
Appl. Soft Comput., 2019

2018
Identification method for a class of periodic discrete-time dynamic nonlinear systems based on Sinusoidal ESN.
Neurocomputing, 2018

2017
Parameter Identification for a Class of Nonlinear Systems Based on ESN.
Proceedings of the Neural Information Processing - 24th International Conference, 2017


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