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Nonlinear Model-Predictive Control for Industrial Processes: An Application to Wastewater Treatment Process

IEEE transactions on industrial electronics (1982), 2014-04, Vol.61 (4), p.1970-1982

2014

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Growing Echo-State Network With Multiple Subreservoirs

IEEE transaction on neural networks and learning systems, 2017-02, Vol.28 (2), p.391-404

2017

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An adaptive deep Q-learning strategy for handwritten digit recognition

Neural networks, 2018-11, Vol.107, p.61-71

2018

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Recurrent Air Quality Predictor Based on Meteorology- and Pollution-Related Factors

IEEE transactions on industrial informatics, 2018-09, Vol.14 (9), p.3946-3955

2018

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An adaptive task-oriented RBF network for key water quality parameters prediction in wastewater treatment process

Neural computing & applications, 2021-09, Vol.33 (17), p.11401-11414

2021

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A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm

IEEE transactions on fuzzy systems, 2010-12, Vol.18 (6), p.1129-1143

2010

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Nonlinear system modeling and application based on restricted Boltzmann machine and improved BP neural network

Applied intelligence (Dordrecht, Netherlands), 2021-01, Vol.51 (1), p.37-50

2021

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PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning

IEEE transaction on neural networks and learning systems, 2021-10, Vol.32 (10), p.4278-4290

2021

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An Adaptive Multiobjective Particle Swarm Optimization Based on Multiple Adaptive Methods

IEEE transactions on cybernetics, 2017-09, Vol.47 (9), p.2754-2767

2017

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The optimal design and application of LSTM neural network based on the hybrid coding PSO algorithm

The Journal of supercomputing, 2022-04, Vol.78 (5), p.7227-7259

2022

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A self-organizing recurrent fuzzy neural network based on multivariate time series analysis

Neural computing & applications, 2021-05, Vol.33 (10), p.5089-5109

2021

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Artificial neural networks for water quality soft-sensing in wastewater treatment: a review

The Artificial intelligence review, 2022, Vol.55 (1), p.565-587

2022

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Dynamic multi-objective intelligent optimal control toward wastewater treatment processes

Science China. Technological sciences, 2022-03, Vol.65 (3), p.569-580

2022

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Deep forest regression based on cross-layer full connection

Neural computing & applications, 2021-08, Vol.33 (15), p.9307-9328

2021

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Prediction of NOx concentration using modular long short-term memory neural network for municipal solid waste incineration

Chinese journal of chemical engineering, 2023-04, Vol.56 (4), p.46-57

2023

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DF classification algorithm for constructing a small sample size of data-oriented DF regression model

Neural computing & applications, 2022-02, Vol.34 (4), p.2785-2810

2022

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Hierarchical Neural Network Modeling Approach to Predict Sludge Volume Index of Wastewater Treatment Process

IEEE transactions on control systems technology, 2013-11, Vol.21 (6), p.2423-2431

2013

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Modeling of energy consumption and effluent quality using density peaks-based adaptive fuzzy neural network

IEEE/CAA journal of automatica sinica, 2018-09, Vol.5 (5), p.968-976

2018

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Guaranteed cost stabilization control of discrete‐time switched systems

IET control theory & applications, 2021-02, Vol.15 (3), p.404-415

2021

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Univariate imputation method for recovering missing data in wastewater treatment process

Chinese journal of chemical engineering, 2023-01, Vol.53 (1), p.201-210

2023

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A novel self-organizing TS fuzzy neural network for furnace temperature prediction in MSWI process

Neural computing & applications, 2022-06, Vol.34 (12), p.9759-9776

2022

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Adaptive Levenberg-Marquardt Algorithm Based Echo State Network for Chaotic Time Series Prediction

IEEE access, 2018-01, Vol.6, p.10720-10732

2018

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Design of sparse Bayesian echo state network for time series prediction

Neural computing & applications, 2021-06, Vol.33 (12), p.7089-7102

2021

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A fuzzy neural network approach for online fault detection in waste water treatment process

Computers & electrical engineering, 2014-10, Vol.40 (7), p.2216-2226

2014

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Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control

IEEE/CAA journal of automatica sinica, 2023-09, Vol.10 (9), p.1797-1809

2023

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Nonlinear Model-Predictive Control for Industrial Processes: An Application to Wastewater Treatment Process

Growing Echo-State Network With Multiple Subreservoirs

An adaptive deep Q-learning strategy for handwritten digit recognition

Recurrent Air Quality Predictor Based on Meteorology- and Pollution-Related Factors

An adaptive task-oriented RBF network for key water quality parameters prediction in wastewater treatment process

A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm

Nonlinear system modeling and application based on restricted Boltzmann machine and improved BP neural network

PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning

An Adaptive Multiobjective Particle Swarm Optimization Based on Multiple Adaptive Methods

The optimal design and application of LSTM neural network based on the hybrid coding PSO algorithm

A self-organizing recurrent fuzzy neural network based on multivariate time series analysis

Artificial neural networks for water quality soft-sensing in wastewater treatment: a review

Dynamic multi-objective intelligent optimal control toward wastewater treatment processes

Deep forest regression based on cross-layer full connection

Prediction of NOx concentration using modular long short-term memory neural network for municipal solid waste incineration

DF classification algorithm for constructing a small sample size of data-oriented DF regression model

Hierarchical Neural Network Modeling Approach to Predict Sludge Volume Index of Wastewater Treatment Process

Modeling of energy consumption and effluent quality using density peaks-based adaptive fuzzy neural network

Guaranteed cost stabilization control of discrete‐time switched systems

Univariate imputation method for recovering missing data in wastewater treatment process

A novel self-organizing TS fuzzy neural network for furnace temperature prediction in MSWI process

Adaptive Levenberg-Marquardt Algorithm Based Echo State Network for Chaotic Time Series Prediction

Design of sparse Bayesian echo state network for time series prediction

A fuzzy neural network approach for online fault detection in waste water treatment process

Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control

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