Cuili Yang

Orcid: 0000-0002-3524-8968

According to our database1, Cuili Yang authored at least 52 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Prescribed Performance Fault-Tolerant Optimal Control for Wastewater Treatment Process With Multivariable.
IEEE Trans. Fuzzy Syst., November, 2024

Fuzzy Neural Network-Based Adaptive Asymmetric Constraint Control in Wastewater Treatment Process.
IEEE Trans. Artif. Intell., June, 2024

Design and Application of Adaptive Sparse Deep Echo State Network.
IEEE Trans. Consumer Electron., February, 2024

State estimation in coupled neural networks with delays via changeable pinning control.
Neural Comput. Appl., January, 2024

Multi-reservoir ESN-based prediction strategy for dynamic multi-objective optimization.
Inf. Sci., January, 2024

Data-driven multi-objective intelligent optimal control of municipal solid waste incineration process.
Eng. Appl. Artif. Intell., 2024

2023
Transfer Learning Algorithm With Knowledge Division Level.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Online-Growing Neural Network Control for Dissolved Oxygen Concentration.
IEEE Trans. Ind. Informatics, May, 2023

An improved stochastic configuration network for concentration prediction in wastewater treatment process.
Inf. Sci., April, 2023

Evolving Deep Delay Echo State Network for Effluent NH<sub>4</sub>-N Prediction in Wastewater Treatment Plants.
IEEE Trans. Instrum. Meas., 2023

Multi-objective sparse echo state network.
Neural Comput. Appl., 2023

Self-organizing pipelined recurrent wavelet neural network for time series prediction.
Expert Syst. Appl., 2023

Preference Weight Vector Adjustment Strategy Based Dynamic Multiobjective Optimization.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

Dynamic Multi-objective Prediction Strategy for Transfer Learning Based on Imbalanced Data Classification.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

Design of Dissolved Oxygen Online Controller Based on Adaptive Dynamic Programming Theory.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

Prediction of TP in Effluent at Multiple Scales Based on ESN.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

2022
The optimal design and application of LSTM neural network based on the hybrid coding PSO algorithm.
J. Supercomput., 2022

Emotional Neural Network Based on Improved CLPSO Algorithm For Time Series Prediction.
Neural Process. Lett., 2022

Robust echo state network with sparse online learning.
Inf. Sci., 2022

Effluent ammonia nitrogen prediction using a phase space reconstruction method combining pipelined recurrent wavelet neural network.
Appl. Soft Comput., 2022

Design of Online ESN-ADP for Dissolved Oxygen Control in WWTP.
Proceedings of the Neural Computing for Advanced Applications, 2022

2021
Intelligent Optimal Control System With Flexible Objective Functions and Its Applications in Wastewater Treatment Process.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Design of sparse Bayesian echo state network for time series prediction.
Neural Comput. Appl., 2021

2020
Design of Extreme Learning Machine with Smoothed ℓ 0 Regularization.
Mob. Networks Appl., 2020

An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection.
Inf. Sci., 2020

Forward and backward input variable selection for polynomial echo state networks.
Neurocomputing, 2020

A self-organizing RBF neural network based on distance concentration immune algorithm.
IEEE CAA J. Autom. Sinica, 2020

Design of modeling error PDF based fuzzy neural network for effluent ammonia nitrogen prediction.
Appl. Soft Comput., 2020

Design of Echo State Network with Coordinate Descent Method and l<sub>1</sub> Regularization.
Proceedings of the Neural Computing for Advanced Applications, 2020

2019
Online sequential echo state network with sparse RLS algorithm for time series prediction.
Neural Networks, 2019

Dynamical regularized echo state network for time series prediction.
Neural Comput. Appl., 2019

Adaptive lasso echo state network based on modified Bayesian information criterion for nonlinear system modeling.
Neural Comput. Appl., 2019

A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty.
Appl. Soft Comput., 2019

Semi-supervised Learning via Adaptive Low-Rank Graph.
Proceedings of the Machine Learning and Intelligent Communications, 2019

A Backward Learning Algorithm in Polynomial Echo State Networks.
Proceedings of the Machine Learning and Intelligent Communications, 2019

Sewage Treatment Control Method Based on Genetic-SOFNN.
Proceedings of the Machine Learning and Intelligent Communications, 2019

An Accelerated PSO Based Self-organizing RBF Neural Network for Nonlinear System Identification and Modeling.
Proceedings of the Machine Learning and Intelligent Communications, 2019

Batch Gradient Training Method with Smoothing l_0 Regularization for Echo State Networks.
Proceedings of the Machine Learning and Intelligent Communications, 2019

2018
Design of polynomial echo state networks for time series prediction.
Neurocomputing, 2018

Design of Incremental Echo State Network Using Leave-One-Out Cross-Validation.
IEEE Access, 2018

Bare-Bones Multiobjective Particle Swarm Optimization Based on Parallel Cell Balanceable Fitness Estimation.
IEEE Access, 2018

Adaptive Levenberg-Marquardt Algorithm Based Echo State Network for Chaotic Time Series Prediction.
IEEE Access, 2018

2017
A Hybrid Intelligent Optimal Control System Design for Wastewater Treatment Process.
Inf. Technol. Control., 2017

An adaptive multi-objective differential evolution algorithm based on evolutionary process information.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

2016
A self-organizing cascade neural network with random weights for nonlinear system modeling.
Appl. Soft Comput., 2016

2015
Routing design for transmission capacity maximization in complex networks.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2014
Optimal topological design for distributed estimation over sensor networks.
Inf. Sci., 2014

Design and Topological Analysis of Complex Networks with Optimal Controllability.
Int. J. Bifurc. Chaos, 2014

2012
A meta-heuristic algorithm for enhancing the synchronizability of complex networks.
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012

A degree-based genetic algorithm for constrained pinning control in complex networks.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Node selection and gain assignment in pinning control using genetic algorithm.
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012

2010
A new method for stability analysis of recurrent neural networks with interval time-varying delay.
IEEE Trans. Neural Networks, 2010


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