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Intelligent Optimal Control System With Flexible Objective Functions and Its Applications in Wastewater Treatment Process.

, , , , и . IEEE Trans. Syst. Man Cybern. Syst., 51 (6): 3464-3476 (2021)

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Yang Yang

Yang Yang

Yang Yang

Yang Yang

Yang Yang

 

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Intelligent Optimal Control System With Flexible Objective Functions and Its Applications in Wastewater Treatment Process., , , , и . IEEE Trans. Syst. Man Cybern. Syst., 51 (6): 3464-3476 (2021)Design of Dissolved Oxygen Online Controller Based on Adaptive Dynamic Programming Theory., , и . NCAA (1), том 1869 из Communications in Computer and Information Science, стр. 47-61. Springer, (2023)Evolving Deep Delay Echo State Network for Effluent NH4-N Prediction in Wastewater Treatment Plants., , , , и . IEEE Trans. Instrum. Meas., (2023)A new method for stability analysis of recurrent neural networks with interval time-varying delay., , и . IEEE Trans. Neural Networks, 21 (2): 339-344 (2010)Semi-supervised Learning via Adaptive Low-Rank Graph., , и . MLICOM, том 294 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 434-443. Springer, (2019)Design of Online ESN-ADP for Dissolved Oxygen Control in WWTP., , и . NCAA (1), том 1637 из Communications in Computer and Information Science, стр. 262-273. Springer, (2022)An improved stochastic configuration network for concentration prediction in wastewater treatment process., , , и . Inf. Sci., (April 2023)Fuzzy Neural Network-Based Adaptive Asymmetric Constraint Control in Wastewater Treatment Process., , и . IEEE Trans. Artif. Intell., 5 (6): 3284-3296 (June 2024)Dynamical regularized echo state network for time series prediction., , , и . Neural Comput. Appl., 31 (10): 6781-6794 (2019)Robust echo state network with sparse online learning., , , и . Inf. Sci., (2022)