| 1 | A Fast Feedforward Small-World Neural Network for Nonlinear System Modeling | 9.5 | 2 | Citations (PDF) |
| 2 | Online Fault-Tolerant Tracking Control With Adaptive Critic for Nonaffine Nonlinear Systems | 8.8 | 7 | Citations (PDF) |
| 3 | Neural-network-based accelerated safe Q-learning for optimal control of discrete-time nonlinear systems with state constraints | 5.8 | 2 | Citations (PDF) |
| 4 | Self-triggered neural tracking control for discrete-time nonlinear systems via adaptive critic learning | 5.8 | 0 | Citations (PDF) |
| 5 | Enhancing offline reinforcement learning for wastewater treatment via transition filter and prioritized approximation loss | 5.8 | 0 | Citations (PDF) |
| 6 | Ensemble self-organizing recursive neural network for modeling furnace temperature in municipal solid waste incineration | 6.0 | 2 | Citations (PDF) |
| 7 | Hybrid Event-Triggered Control with Stability Analysis | 8.8 | 4 | Citations (PDF) |
| 8 | Adaptive NN Controller of Nonlinear State-Dependent Constrained Systems With Unknown Control Direction | 9.5 | 25 | Citations (PDF) |
| 9 | Adaptive Neural Fixed-Time Tracking Control for High-Order Nonlinear Systems | 9.5 | 100 | Citations (PDF) |
| 10 | Asymmetric Constrained Optimal Tracking Control With Critic Learning of Nonlinear Multiplayer Zero-Sum Games | 9.5 | 45 | Citations (PDF) |
| 11 | Tree Broad Learning System for Small Data Modeling | 9.5 | 17 | Citations (PDF) |
| 12 | Event-Triggered Adaptive Model Predictive Control of Oxygen Content for Municipal Solid Waste Incineration Process | 6.1 | 31 | Citations (PDF) |
| 13 | Nonsingular Gradient Descent Algorithm for Interval Type-2 Fuzzy Neural Network | 9.5 | 5 | Citations (PDF) |
| 14 | Advanced Optimal Tracking Control With Stability Guarantee via Novel Value Learning Formulation | 9.5 | 6 | Citations (PDF) |
| 15 | Multi-Objective Integrated Robust Optimal Control for Wastewater Treatment Processes | 6.1 | 16 | Citations (PDF) |
| 16 | Interval Type-2 Fuzzy Neural Network Based on Active Semi-Supervised Learning for Non-Stationary Industrial Processes | 6.1 | 21 | Citations (PDF) |
| 17 | Convergence and Stability of Optimal Regulation via Generalized N-Step Value Gradient Learning | 9.5 | 2 | Citations (PDF) |
| 18 | Data-Driven Robust Adaptive Control With Deep Learning for Wastewater Treatment Process | 9.3 | 33 | Citations (PDF) |
| 19 | Online Measurement of Dioxin Emission in Solid Waste Incineration Using Fuzzy Broad Learning | 9.3 | 19 | Citations (PDF) |
| 20 | Cooperative Event-Triggered Fuzzy-Neural Multivariable Control With Multitask Learning for Municipal Solid Waste Incineration Process | 9.3 | 19 | Citations (PDF) |
| 21 | Double-Closed-Loop Robust Optimal Control for Uncertain Nonlinear Systems | 10.0 | 10 | Citations (PDF) |
| 22 | Robust Self-Constructing Fuzzy Neural Network-Based Online Estimation for Industrial Product Quality | 9.3 | 5 | Citations (PDF) |
| 23 | Adaptive Critic Control Design With Knowledge Transfer for Wastewater Treatment Applications | 9.3 | 46 | Citations (PDF) |
| 24 | Offline Data-Driven Adaptive Critic Design With Variational Inference for Wastewater Treatment Process Control | 6.1 | 11 | Citations (PDF) |
| 25 | Event-Triggered Online Learning Fuzzy-Neural Robust Control for Furnace Temperature in Municipal Solid Waste Incineration Process | 6.1 | 15 | Citations (PDF) |
| 26 | Self-Organizing Fuzzy Terminal Sliding Mode Control for Wastewater Treatment Processes | 6.1 | 17 | Citations (PDF) |
| 27 | Adaptive Critic Tracking Design for Data-Based Nonaffine Predictive Control | 6.1 | 7 | Citations (PDF) |
| 28 | Multi-condition operational optimization with adaptive knowledge transfer for municipal solid waste incineration process | 7.3 | 16 | Citations (PDF) |
| 29 | NOx emissions prediction for MSWI process based on dynamic modular neural network | 7.3 | 9 | Citations (PDF) |
| 30 | Self-Organizing Robust Fuzzy Neural Network for Nonlinear System Modeling | 9.5 | 9 | Citations (PDF) |
| 31 | Robust Type-2 Fuzzy Neural Control for Wastewater Treatment Process With External Disturbances | 6.1 | 8 | Citations (PDF) |
| 32 | Action-Dependent Heuristic Dynamic Programming With Experience Replay for Wastewater Treatment Processes | 9.3 | 17 | Citations (PDF) |
| 33 | Multi-task stochastic configuration network with autonomous linking and its application in wastewater treatment processes | 6.3 | 7 | Citations (PDF) |
| 34 | Dynamic System Modeling Using a Multisource Transfer Learning-Based Modular Neural Network for Industrial Application | 9.3 | 7 | Citations (PDF) |
| 35 | Hybrid Simulator-Based Mechanism and Data-Driven for Multidemand Dioxin Emissions Intelligent Prediction in the MSWI Process | 6.5 | 9 | Citations (PDF) |
| 36 | Reinforcement learning control with n-step information for wastewater treatment systems | 7.6 | 6 | Citations (PDF) |
| 37 | Data-Driven Robust Multimodal Multiobjective Particle Swarm Optimization | 7.3 | 8 | Citations (PDF) |
| 38 | Mechanism-Data-Driven Multiobjective Optimization for Wastewater Treatment Process | 9.3 | 19 | Citations (PDF) |
| 39 | An adaptive evolutionary modular neural network with intermodule connections | 2.8 | 2 | Citations (PDF) |
| 40 | Stabilizing value iteration Q-learning for online evolving control of discrete-time nonlinear systems | 5.0 | 5 | Citations (PDF) |
| 41 | Neurodynamics-Driven Prediction Model for State Evolution of Coastal Water Quality | 3.7 | 6 | Citations (PDF) |
| 42 | Advanced optimal tracking integrating a neural critic technique for asymmetric constrained zero-sum games | 5.8 | 7 | Citations (PDF) |
| 43 | Multifidelity surrogates-assisted multi-objective particle swarm algorithm for offline data-driven optimization | 2.8 | 2 | Citations (PDF) |
| 44 | Adaptive sliding mode control of petrochemical flare combustion process based on radial basis function network | 3.5 | 1 | Citations (PDF) |
| 45 | Resilient Output Synchronization of Heterogeneous Multiagent Systems With DoS Attacks Under Distributed Event-/Self-Triggered Control | 9.5 | 48 | Citations (PDF) |
| 46 | Adaptive Critic for Event-Triggered Unknown Nonlinear Optimal Tracking Design With Wastewater Treatment Applications | 9.5 | 69 | Citations (PDF) |
| 47 | Self-Organizing Interval Type-2 Fuzzy Neural Network Using Information Aggregation Method | 9.5 | 35 | Citations (PDF) |
| 48 | Deterministic Learning-Based Adaptive Neural Control for Nonlinear Full-State Constrained Systems | 9.5 | 123 | Citations (PDF) |
| 49 | System Stability of Learning-Based Linear Optimal Control With General Discounted Value Iteration | 9.5 | 63 | Citations (PDF) |
| 50 | Piecewise Sliding-Mode Control for Sludge Bulking Under Multiple Operating Conditions | 9.3 | 12 | Citations (PDF) |
| 51 | Stability and Admissibility Analysis for Zero-Sum Games Under General Value Iteration Formulation | 9.5 | 49 | Citations (PDF) |
| 52 | Event-Driven Model Predictive Control With Deep Learning for Wastewater Treatment Process | 9.3 | 50 | Citations (PDF) |
| 53 | Robust Optimal Control for Wastewater Treatment Process With Uncertain Time Delays | 9.3 | 20 | Citations (PDF) |
| 54 | Evolving and Incremental Value Iteration Schemes for Nonlinear Discrete-Time Zero-Sum Games | 10.0 | 37 | Citations (PDF) |
| 55 | Consensus of MASs With Input and Communication Delays by Predictor-Based Protocol | 10.0 | 20 | Citations (PDF) |
| 56 | Design of Broad Learning-Based Self-Healing Predictive Control for Sludge Bulking in Wastewater Treatment Process | 9.3 | 18 | Citations (PDF) |
| 57 | Multiobjective Integrated Optimal Control for Nonlinear Systems | 10.0 | 11 | Citations (PDF) |
| 58 | Knowledge-Aided and Data-Driven Fuzzy Decision Making for Sludge Bulking | 9.9 | 17 | Citations (PDF) |
| 59 | Security Control of Sampled-Data T–S Fuzzy Systems Subject to Cyberattacks and Successive Packet Losses | 9.9 | 37 | Citations (PDF) |
| 60 | Data-Driven Multimodel Predictive Control for Multirate Sampled-Data Nonlinear Systems | 6.1 | 37 | Citations (PDF) |
| 61 | Dual Event-Triggered Constrained Control Through Adaptive Critic for Discrete-Time Zero-Sum Games | 7.3 | 95 | Citations (PDF) |
| 62 | Online-Growing Neural Network Control for Dissolved Oxygen Concentration | 9.3 | 22 | Citations (PDF) |
| 63 | Off-Policy Model-Free Learning for Multi-Player Non-Zero-Sum Games With Constrained Inputs | 3.8 | 29 | Citations (PDF) |
| 64 | Self-Organizing Interval Type-2 Fuzzy Neural Network With Adaptive Discriminative Strategy | 9.9 | 11 | Citations (PDF) |
| 65 | Dynamic Fuzzy Boundary Output Feedback Control for Nonlinear Delayed Parabolic Partial Differential Equation Systems Under Noncollocated Boundary Measurement | 9.9 | 15 | Citations (PDF) |
| 66 | Takagi–Sugeno Fuzzy Regression Trees With Application to Complex Industrial Modeling | 9.9 | 13 | Citations (PDF) |
| 67 | Self-organizing pipelined recurrent wavelet neural network for time series prediction | 7.3 | 6 | Citations (PDF) |
| 68 | Discounted Near-Optimal Control of Affine Systems via a Progressive Cost Evolution Formulation | 2.3 | 4 | Citations (PDF) |
| 69 | A Multitask Learning Model for the Prediction of NOx Emissions in Municipal Solid Waste Incineration Processes | 3.7 | 7 | Citations (PDF) |
| 70 | Fault-Tolerant Stochastic Sampled-Data Fuzzy Control for Nonlinear Delayed Parabolic PDE Systems | 9.9 | 34 | Citations (PDF) |
| 71 | Event-triggered constrained neural critic control of nonlinear continuous-time multiplayer nonzero-sum games | 6.3 | 21 | Citations (PDF) |
| 72 | Dynamic modeling of multi-input and multi-output controlled object for municipal solid waste incineration process | 10.5 | 14 | Citations (PDF) |
| 73 | Adaptive critic design for nonlinear multi-player zero-sum games with unknown dynamics and control constraints | 5.0 | 29 | Citations (PDF) |
| 74 | A Comprehensively Improved Interval Type-2 Fuzzy Neural Network for NOx Emissions Prediction in MSWI Process | 9.3 | 17 | Citations (PDF) |
| 75 | Data-Driven Optimal Control for Municipal Solid Waste Incineration Process | 9.3 | 33 | Citations (PDF) |
| 76 | Iterative Learning Model Predictive Control With Fuzzy Neural Network for Nonlinear Systems | 9.9 | 16 | Citations (PDF) |
| 77 | Multitask Particle Swarm Optimization With Dynamic Transformation | 3.4 | 6 | Citations (PDF) |
| 78 | Traffic models of periodic event-triggered quantized control systems | 3.5 | 2 | Citations (PDF) |
| 79 | Evolving Deep Delay Echo State Network for Effluent NH4-N Prediction in Wastewater Treatment Plants | 3.7 | 12 | Citations (PDF) |
| 80 | A self-organizing fuzzy neural network with hybrid learning algorithm for nonlinear system modeling | 6.3 | 13 | Citations (PDF) |
| 81 |
H
∞
fuzzy intermittent boundary control for nonlinear parabolic distributed parameter systems | 3.4 | 16 | Citations (PDF) |
| 82 | A self-organizing modular neural network based on empirical mode decomposition with sliding window for time series prediction | 6.0 | 28 | Citations (PDF) |
| 83 | Time-series prediction using a regularized self-organizing long short-term memory neural network | 6.0 | 9 | Citations (PDF) |
| 84 | Secure Consensus of Multiagent Systems With DoS Attacks via Fully Distributed Dynamic Event-Triggered Control | 7.3 | 55 | Citations (PDF) |
| 85 | A modular neural network with empirical mode decomposition and multi-view learning for time series prediction | 2.4 | 2 | Citations (PDF) |
| 86 | Novel Discounted Optimal Tracking Design Under Offline and Online Formulations for Asymmetric Constrained Systems | 7.3 | 6 | Citations (PDF) |
| 87 | Periodic Event-Triggered CACC and Communication Co-design for Vehicle Platooning | 1.9 | 3 | Citations (PDF) |
| 88 | Adaptive multi-objective competitive swarm optimization algorithm based on kinematic analysis for municipal solid waste incineration | 6.0 | 14 | Citations (PDF) |
| 89 | Successful start-up of a novel integrated denitrifying phosphorus removal and partial denitrification coupled with anammox process for simultaneous nitrogen and phosphorus removal with fully ordinary suspended sludge | 12.0 | 14 | Citations (PDF) |
| 90 | A WSFA-based adaptive feature extraction method for multivariate time series prediction | 3.8 | 1 | Citations (PDF) |
| 91 | An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design | 10.0 | 126 | Citations (PDF) |
| 92 | How Deep Is Deep Enough for Deep Belief Network for Approximating Model Predictive Control Law | 6.1 | 11 | Citations (PDF) |
| 93 | NOx Emissions Prediction With a Brain-Inspired Modular Neural Network in Municipal Solid Waste Incineration Processes | 9.3 | 54 | Citations (PDF) |
| 94 | Online and Self-Learning Approach to the Identification of Fuzzy Neural Networks | 9.9 | 17 | Citations (PDF) |
| 95 | Adaptive critic optimization to decentralized event‐triggered control of continuous‐time nonlinear interconnected systems | 1.6 | 17 | Citations (PDF) |
| 96 | An Efficient Self-Organizing Deep Fuzzy Neural Network for Nonlinear System Modeling | 9.9 | 53 | Citations (PDF) |
| 97 | Observer-Based Adaptive Fuzzy Control for Nonlinear State-Constrained Systems Without Involving Feasibility Conditions | 10.0 | 39 | Citations (PDF) |
| 98 | Policy Gradient Adaptive Critic Design With Dynamic Prioritized Experience Replay for Wastewater Treatment Process Control | 9.3 | 90 | Citations (PDF) |
| 99 | Self-organizing radial basis function neural network using accelerated second-order learning algorithm | 5.8 | 33 | Citations (PDF) |
| 100 | Secure Consensus of Multiagent Systems With Input Saturation and Distributed Multiple DoS Attacks | 2.3 | 20 | Citations (PDF) |
| 101 | Active Vision for Deep Visual Learning: A Unified Pooling Framework | 9.3 | 4 | Citations (PDF) |
| 102 | Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge | 7.2 | 37 | Citations (PDF) |
| 103 | A multi-objective particle swarm optimization algorithm based on two-archive mechanism | 6.0 | 122 | Citations (PDF) |
| 104 | Air Pollution Prediction in Mass Rallies With a New Temporally-Weighted Sample-Based Multitask Learner | 3.7 | 19 | Citations (PDF) |
| 105 | A novel self-organizing TS fuzzy neural network for furnace temperature prediction in MSWI process | 3.8 | 8 | Citations (PDF) |
| 106 | Effluent ammonia nitrogen prediction using a phase space reconstruction method combining pipelined recurrent wavelet neural network | 6.0 | 10 | Citations (PDF) |
| 107 | An online adjusting RBF neural network for nonlinear system modeling | 2.8 | 19 | Citations (PDF) |
| 108 | Multi-objective model predictive control with gradient eigenvector algorithm | 6.3 | 12 | Citations (PDF) |
| 109 | Online Value Iteration for Intelligent Discounted Tracking Design of Constrained Systems | 2.3 | 11 | Citations (PDF) |
| 110 | Periodic decentralized event-triggered control for nonlinear systems with asynchronous update and dynamic quantization | 5.0 | 7 | Citations (PDF) |
| 111 | Adaptive candidate estimation-assisted multi-objective particle swarm optimization | 4.3 | 19 | Citations (PDF) |
| 112 | Design of a modular neural network based on an improved soft subspace clustering algorithm | 7.3 | 13 | Citations (PDF) |
| 113 | MIMO modeling and multi-loop control based on neural network for municipal solid waste incineration | 4.3 | 34 | Citations (PDF) |
| 114 | Neural critic learning for tracking control design of constrained nonlinear multi-person zero-sum games | 5.8 | 12 | Citations (PDF) |
| 115 | Self-Organizing Multichannel Deep Learning System for River Turbidity Monitoring | 3.7 | 8 | Citations (PDF) |
| 116 | Rendezvous of Heterogeneous Multiagent Systems With Nonuniform Time-Varying Information Delays: An Adaptive Approach | 7.3 | 22 | Citations (PDF) |
| 117 | Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System | 9.5 | 118 | Citations (PDF) |
| 118 | Ensemble Meta-Learning for Few-Shot Soot Density Recognition | 9.3 | 103 | Citations (PDF) |
| 119 | Data-Driven Iterative Adaptive Critic Control Toward an Urban Wastewater Treatment Plant | 6.5 | 200 | Citations (PDF) |
| 120 | Fixed-Time Cooperative Relay Tracking in Multiagent Surveillance Networks | 7.3 | 24 | Citations (PDF) |
| 121 | A novel decomposition-based multiobjective evolutionary algorithm using improved multiple adaptive dynamic selection strategies | 6.3 | 28 | Citations (PDF) |
| 122 | PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning | 9.5 | 84 | Citations (PDF) |
| 123 | Data-knowledge-driven diagnosis method for sludge bulking of wastewater treatment process | 3.6 | 31 | Citations (PDF) |
| 124 | Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning | 5.8 | 49 | Citations (PDF) |
| 125 | Accelerated gradient algorithm for RBF neural network | 5.8 | 34 | Citations (PDF) |
| 126 | Intelligent optimal tracking with asymmetric constraints of a nonlinear wastewater treatment system | 3.0 | 45 | Citations (PDF) |
| 127 | Discounted near‐optimal regulation of constrained nonlinear systems via generalized value iteration | 3.0 | 10 | Citations (PDF) |
| 128 | A metric-based meta-learning approach combined attention mechanism and ensemble learning for few-shot learning | 3.1 | 25 | Citations (PDF) |
| 129 | Cooperative Fuzzy-Neural Control for Wastewater Treatment Process | 9.3 | 79 | Citations (PDF) |
| 130 | Adaptive Fuzzy Fast Finite-Time Dynamic Surface Tracking Control for Nonlinear Systems | 3.8 | 141 | Citations (PDF) |
| 131 | Boundary Observer Design for Stochastic Phase Transition Models of Nonequilibrium Traffic Flow | 5.3 | 10 | Citations (PDF) |
| 132 | Prediction of Oxygen Content Using Weighted PCA and Improved LSTM Network in MSWI Process | 3.7 | 21 | Citations (PDF) |
| 133 | The optimal design and application of LSTM neural network based on the hybrid coding PSO algorithm | 2.2 | 16 | Citations (PDF) |
| 134 | Multi‐Variable Direct Self‐Organizing Fuzzy Neural Network Control for Wastewater Treatment Process | 2.4 | 22 | Citations (PDF) |
| 135 | Multiscale Natural Scene Statistical Analysis for No-Reference Quality Evaluation of DIBR-Synthesized Views | 3.2 | 74 | Citations (PDF) |
| 136 | A self-organizing deep belief network based on information relevance strategy | 5.8 | 9 | Citations (PDF) |
| 137 | Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances | 3.9 | 25 | Citations (PDF) |
| 138 | Stacked Selective Ensemble for PM<sub>2.5</sub> Forecast | 3.7 | 85 | Citations (PDF) |
| 139 | Identification and simplification of T-S fuzzy neural networks based on incremental structure learning and similarity analysis | 2.1 | 16 | Citations (PDF) |
| 140 | A sparse deep belief network with efficient fuzzy learning framework | 5.8 | 67 | Citations (PDF) |
| 141 | Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation | 5.3 | 192 | Citations (PDF) |
| 142 | Data-Knowledge-Based Fuzzy Neural Network for Nonlinear System Identification | 9.9 | 44 | Citations (PDF) |
| 143 | An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection | 6.3 | 36 | Citations (PDF) |
| 144 | Deep Dual-Channel Neural Network for Image-Based Smoke Detection | 7.6 | 189 | Citations (PDF) |
| 145 | Data-Driven Multiobjective Predictive Control for Wastewater Treatment Process | 9.3 | 112 | Citations (PDF) |
| 146 | An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines | 9.5 | 62 | Citations (PDF) |
| 147 | A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling | 5.8 | 25 | Citations (PDF) |
| 148 | Local Proportional-Integral Boundary Feedback Stabilization for Quasilinear Hyperbolic Systems of Balance Laws | 2.0 | 11 | Citations (PDF) |
| 149 | Photo-Based Monitoring of Particulate Matter in the Campus: A New Strategy for Student Health | 0.3 | 0 | Citations (PDF) |
| 150 | An online self-organizing algorithm for feedforward neural network | 3.8 | 15 | Citations (PDF) |
| 151 | Design of modeling error PDF based fuzzy neural network for effluent ammonia nitrogen prediction | 6.0 | 18 | Citations (PDF) |
| 152 | A self-organizing RBF neural network based on distance concentration immune algorithm | 8.8 | 27 | Citations (PDF) |
| 153 | Nonlinear system modeling and application based on restricted Boltzmann machine and improved BP neural network | 2.8 | 28 | Citations (PDF) |
| 154 | A Self-Organizing Sliding-Mode Controller for Wastewater Treatment Processes | 3.5 | 64 | Citations (PDF) |
| 155 | Decoupling control for wastewater treatment process based on recurrent fuzzy neural network | 2.4 | 21 | Citations (PDF) |
| 156 | Cooperative strategy for constructing interval type-2 fuzzy neural network | 5.8 | 29 | Citations (PDF) |
| 157 | Fault detection of sludge bulking using a self-organizing type-2 fuzzy-neural-network | 4.3 | 40 | Citations (PDF) |
| 158 | Stability Analysis for a Class of Discrete-Time Switched Systems With Partial Unstable Subsystems | 2.3 | 30 | Citations (PDF) |
| 159 | Online sequential echo state network with sparse RLS algorithm for time series prediction | 5.8 | 41 | Citations (PDF) |
| 160 | PI boundary control of linear hyperbolic balance laws with stabilization of ARZ traffic flow models | 2.0 | 68 | Citations (PDF) |
| 161 | A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty | 6.0 | 41 | Citations (PDF) |
| 162 | TL-GDBN: Growing Deep Belief Network With Transfer Learning | 6.1 | 122 | Citations (PDF) |
| 163 | Self-Organizing RBF Neural Network Using an Adaptive Gradient Multiobjective Particle Swarm Optimization | 10.0 | 72 | Citations (PDF) |
| 164 | An Efficient Second-Order Algorithm for Self-Organizing Fuzzy Neural Networks | 10.0 | 48 | Citations (PDF) |
| 165 | Design of polynomial echo state networks for time series prediction | 5.8 | 44 | Citations (PDF) |
| 166 | An adaptive deep Q-learning strategy for handwritten digit recognition | 5.8 | 78 | Citations (PDF) |
| 167 | Multiobjective design of fuzzy neural network controller for wastewater treatment process | 6.0 | 82 | Citations (PDF) |
| 168 | A self-organizing interval Type-2 fuzzy-neural-network for modeling nonlinear systems | 5.8 | 57 | Citations (PDF) |
| 169 | A self-organizing deep belief network for nonlinear system modeling | 6.0 | 56 | Citations (PDF) |
| 170 | Adaptive Gradient Multiobjective Particle Swarm Optimization | 10.0 | 97 | Citations (PDF) |
| 171 | Design of Dynamic Modular Neural Network Based on Adaptive Particle Swarm Optimization Algorithm | 3.0 | 24 | Citations (PDF) |
| 172 | An incremental neuronal-activity-based RBF neural network for nonlinear system modeling | 5.8 | 45 | Citations (PDF) |
| 173 | An Adaptive-PSO-Based Self-Organizing RBF Neural Network | 9.5 | 130 | Citations (PDF) |
| 174 | Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data | 9.5 | 399 | Citations (PDF) |
| 175 | Local Exponential Stabilization of Semi-Linear Hyperbolic Systems by Means of a Boundary Feedback Control 2018, 2, 55-60 | | 9 | Citations (PDF) |
| 176 | Model-Based Referenceless Quality Metric of 3D Synthesized Images Using Local Image Description | 9.5 | 137 | Citations (PDF) |
| 177 | Nonlinear system modeling using a self-organizing recurrent radial basis function neural network | 6.0 | 28 | Citations (PDF) |
| 178 | A sludge volume index (SVI) model based on the multivariate local quadratic polynomial regression method | 3.5 | 20 | Citations (PDF) |
| 179 | Nonlinear System Modeling Using RBF Networks for Industrial Application | 9.3 | 102 | Citations (PDF) |
| 180 | A deep belief network with PLSR for nonlinear system modeling | 5.8 | 71 | Citations (PDF) |
| 181 | An intelligent detecting system for permeability prediction of MBR | 2.6 | 25 | Citations (PDF) |
| 182 | Prediction of sludge bulking using the knowledge-leverage-based fuzzy neural network | 2.6 | 26 | Citations (PDF) |
| 183 | Modeling of energy consumption and effluent quality using density peaks-based adaptive fuzzy neural network | 8.8 | 45 | Citations (PDF) |
| 184 | An intelligent detection method for bulking sludge of wastewater treatment process | 3.6 | 25 | Citations (PDF) |
| 185 | Dynamical regularized echo state network for time series prediction | 3.8 | 36 | Citations (PDF) |
| 186 | Multiobjective optimal control for wastewater treatment process using adaptive MOEA/D | 2.8 | 53 | Citations (PDF) |
| 187 | A novel modular RBF neural network based on a brain-like partition method | 3.8 | 17 | Citations (PDF) |
| 188 | An adaptive growing and pruning algorithm for designing recurrent neural network | 5.8 | 46 | Citations (PDF) |
| 189 | An Adaptive Multiobjective Particle Swarm Optimization Based on Multiple Adaptive Methods | 10.0 | 102 | Citations (PDF) |
| 190 | Wastewater treatment control method based on a rule adaptive recurrent fuzzy neural network | 1.7 | 8 | Citations (PDF) |
| 191 | Modeling of nonlinear systems using the self-organizing fuzzy neural network with adaptive gradient algorithm | 5.8 | 58 | Citations (PDF) |
| 192 | An improved algorithm for building self-organizing feedforward neural networks | 5.8 | 26 | Citations (PDF) |
| 193 | Self-organization of a recurrent RBF neural network using an information-oriented algorithm | 5.8 | 26 | Citations (PDF) |
| 194 | No-Reference Quality Assessment of Screen Content Pictures | 9.5 | 229 | Citations (PDF) |
| 195 | Soft Measurement Modeling Based on Chaos Theory for Biochemical Oxygen Demand (BOD) | 2.7 | 19 | Citations (PDF) |
| 196 | Self-organizing fuzzy control for dissolved oxygen concentration using fuzzy neural network1 | 1.0 | 28 | Citations (PDF) |
| 197 | Identification of fuzzy neural networks by forward recursive input-output clustering and accurate similarity analysis | 6.0 | 18 | Citations (PDF) |
| 198 | An adaptive second order fuzzy neural network for nonlinear system modeling | 5.8 | 42 | Citations (PDF) |
| 199 | Constructive algorithm for fully connected cascade feedforward neural networks | 5.8 | 49 | Citations (PDF) |
| 200 | A soft computing method to predict sludge volume index based on a recurrent self-organizing neural network | 6.0 | 54 | Citations (PDF) |
| 201 | Dynamic multi-objective optimization control for wastewater treatment process | 3.8 | 90 | Citations (PDF) |
| 202 | Soft Computing of Biochemical Oxygen Demand Using an Improved T–S Fuzzy Neural Network | 3.5 | 32 | Citations (PDF) |
| 203 | Neural Network On‐Line Modeling and Controlling Method for Multi‐Variable Control of Wastewater Treatment Processes | 2.4 | 30 | Citations (PDF) |
| 204 | Hierarchical extreme learning machine for feedforward neural network | 5.8 | 37 | Citations (PDF) |
| 205 | Nonlinear Model-Predictive Control for Industrial Processes: An Application to Wastewater Treatment Process | 6.5 | 159 | Citations (PDF) |
| 206 | Nonlinear Systems Modeling Based on Self-Organizing Fuzzy-Neural-Network With Adaptive Computation Algorithm | 10.0 | 92 | Citations (PDF) |
| 207 | An online self-adaptive modular neural network for time-varying systems | 5.8 | 45 | Citations (PDF) |
| 208 | A structure optimisation algorithm for feedforward neural network construction | 5.8 | 72 | Citations (PDF) |
| 209 | Real-Time Model Predictive Control Using a Self-Organizing Neural Network | 9.5 | 94 | Citations (PDF) |
| 210 | Efficient self-organizing multilayer neural network for nonlinear system modeling | 5.8 | 44 | Citations (PDF) |
| 211 | Hierarchical Neural Network Modeling Approach to Predict Sludge Volume Index of Wastewater Treatment Process | 3.5 | 44 | Citations (PDF) |
| 212 | Adaptive optimal control for a wastewater treatment plant based on a data-driven method | 2.6 | 23 | Citations (PDF) |
| 213 | Prediction of activated sludge bulking based on a self-organizing RBF neural network | 3.6 | 67 | Citations (PDF) |
| 214 | Identification and modeling of nonlinear dynamical systems using a novel self-organizing RBF-based approach | 5.0 | 86 | Citations (PDF) |
| 215 | Model predictive control of dissolved oxygen concentration based on a self-organizing RBF neural network | 4.3 | 166 | Citations (PDF) |
| 216 | Adaptive Computation Algorithm for RBF Neural Network | 9.5 | 76 | Citations (PDF) |
| 217 | On Structure Design for RBF Neural Network Based on Information Strength | 0.2 | 10 | Citations (PDF) |
| 218 | Adaptive dissolved oxygen control based on dynamic structure neural network | 6.0 | 58 | Citations (PDF) |
| 219 | An efficient self-organizing RBF neural network for water quality prediction | 5.8 | 215 | Citations (PDF) |
| 220 | Research on an online self-organizing radial basis function neural network | 3.8 | 39 | Citations (PDF) |
| 221 | A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm | 9.9 | 162 | Citations (PDF) |
| 222 | Optimal Structure Design for RBFNN Structure | 0.2 | 24 | Citations (PDF) |
| 223 | Data‐driven abstractions based on deep learning for periodic event‐triggered control systems | 2.4 | 0 | Citations (PDF) |
| 224 | A Novel Self-Adjusting Dual-Mode Evolutionary Framework for Multi-Task Optimization | 8.8 | 0 | Citations (PDF) |