Related references
Note: Only part of the references are listed.Distributed-ensemble stacked autoencoder model for nonlinear process monitoring
Zhichao Li et al.
INFORMATION SCIENCES (2021)
CNN-based encoder-decoder networks for salient object detection: A comprehensive review and recent advances
Yuzhu Ji et al.
INFORMATION SCIENCES (2021)
ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders
Francisco J. Pulgar et al.
INFORMATION SCIENCES (2021)
Modelling for froth flotation control: A review
Paulina Quintanilla et al.
MINERALS ENGINEERING (2021)
Deep reinforcement learning with reference system to handle constraints for energy-efficient train control
Mengying Shang et al.
INFORMATION SCIENCES (2021)
Overcoming model bias for robust offline deep reinforcement learning
Phillip Swazinna et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)
Two-Stream Deep Feature-Based Froth Flotation Monitoring Using Visual Attention Clues
Mingxi Ai et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)
Output Feedback Model Predictive Control of Interval Type-2 T-S Fuzzy System With Bounded Disturbance
Xubin Ping et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)
Timed key-value memory network for flotation reagent control
Jin Zhang et al.
CONTROL ENGINEERING PRACTICE (2020)
Convolutional memory network-based flotation performance monitoring
Jin Zhang et al.
MINERALS ENGINEERING (2020)
Off-Policy Q-Learning: Set-Point Design for Optimizing Dual-Rate Rougher Flotation Operational Processes
Jinna Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Froth image analysis by use of transfer learning and convolutional neural networks
Yihao Fu et al.
MINERALS ENGINEERING (2018)
Nonlinear modeling of the relationship between reagent dosage and flotation froth surface image by Hammerstein-Wiener model
Jin Zhang et al.
MINERALS ENGINEERING (2018)
Adaptive Constrained Optimal Control Design for Data-Based Nonlinear Discrete-Time Systems With Critic-Only Structure
Biao Luo et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
Fuzzy Association Rule Based Froth Surface Behavior Control in Zinc Froth Flotation
Jin Zhang et al.
SYMMETRY-BASEL (2018)
Second Order Intelligent Proportional-Integral Fuzzy Control of Twin Rotor Aerodynamic Systems
Raul-Cristian Roman et al.
6TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (2018)
Reagent Addition Control for Stibium Rougher Flotation Based on Sensitive Froth Image Features
Yongfang Xie et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2017)
Performance of Convolutional Neural Networks for Feature Extraction in Froth Flotation Sensing
Z. C. Horn et al.
IFAC PAPERSONLINE (2017)
Froth-based modeling and control of a batch flotation process
A. Jahedsaravani et al.
INTERNATIONAL JOURNAL OF MINERAL PROCESSING (2016)
Genetic learning of the membership functions for mining fuzzy association rules from low quality data
Ana Maria Palacios et al.
INFORMATION SCIENCES (2015)
Contemporary advanced control techniques for flotation plants with mechanical flotation cells - A review
Ivana Jovanovic et al.
MINERALS ENGINEERING (2015)
Reinforcement learning algorithms with function approximation: Recent advances and applications
Xin Xu et al.
INFORMATION SCIENCES (2014)
Prediction of the metallurgical performances of a batch flotation system by image analysis and neural networks
A. Jahedsaravani et al.
MINERALS ENGINEERING (2014)
Integrated Network-Based Model Predictive Control for Setpoints Compensation in Industrial Processes
Tianyou Chai et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2013)
FARP: Mining fuzzy association rules from a probabilistic quantitative database
Bin Pei et al.
INFORMATION SCIENCES (2013)
A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning
Jesus Alcala-Fdez et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2011)
A review of froth flotation control
B. J. Shean et al.
INTERNATIONAL JOURNAL OF MINERAL PROCESSING (2011)
Genetic learning of fuzzy cognitive maps
W Stach et al.
FUZZY SETS AND SYSTEMS (2005)
Development of fuzzy controllers with non-homogeneous dynamics for integral-type plants
RE Precup et al.
ELECTRICAL ENGINEERING (2003)