Junfei Qiao spends much of his time researching Artificial neural network, Control theory, Artificial intelligence, Nonlinear system and Radial basis function. His Artificial neural network research incorporates elements of Algorithm, Mathematical optimization, Fuzzy logic and Pruning. Within one scientific family, Junfei Qiao focuses on topics pertaining to Key under Algorithm, and may sometimes address concerns connected to System identification and Probabilistic neural network.
The study incorporates disciplines such as Model predictive control and Benchmark in addition to Control theory. His biological study spans a wide range of topics, including Data mining and Computer vision. His Nonlinear system research is mostly focused on the topic Nonlinear modelling.
His scientific interests lie mostly in Artificial neural network, Artificial intelligence, Nonlinear system, Algorithm and Benchmark. His study in Artificial neural network is interdisciplinary in nature, drawing from both Mathematical optimization, Control theory and Sewage treatment. The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
His work deals with themes such as Control engineering, Gradient method and Robustness, which intersect with Nonlinear system. His work carried out in the field of Algorithm brings together such families of science as Echo state network, Feature selection and Time series. His research in Benchmark intersects with topics in Structure and Fuzzy logic.
The scientist’s investigation covers issues in Artificial neural network, Artificial intelligence, Benchmark, Algorithm and Nonlinear system. His studies deal with areas such as Data-driven, Mathematical optimization, Feature vector and Sewage treatment as well as Artificial neural network. He has included themes like Machine learning and Pattern recognition in his Artificial intelligence study.
His studies in Benchmark integrate themes in fields like Data mining, Stability, Particle swarm optimization, Pareto principle and Fuzzy logic. His Algorithm study combines topics from a wide range of disciplines, such as Hidden layer, Time series and Sensitivity. In his research, Chaotic and Radial basis function is intimately related to Modular neural network, which falls under the overarching field of Nonlinear system.
Artificial intelligence, Artificial neural network, Algorithm, Nonlinear system and Pattern recognition are his primary areas of study. Junfei Qiao combines subjects such as Machine learning and Statistical regularity with his study of Artificial intelligence. In his works, Junfei Qiao undertakes multidisciplinary study on Artificial neural network and Approximation error.
His Algorithm research is multidisciplinary, incorporating perspectives in Multi-source and Mill. His Nonlinear system study combines topics in areas such as Effluent, Sparse approximation, Mathematical optimization, Benchmark and Robustness. The Benchmark study which covers Optimal control that intersects with Sewage treatment.
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Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data
Ke Gu;Dacheng Tao;Jun-Fei Qiao;Weisi Lin.
IEEE Transactions on Neural Networks (2018)
An efficient self-organizing RBF neural network for water quality prediction
Hong-Gui Han;Qi-li Chen;Jun-Fei Qiao.
Neural Networks (2011)
A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm
Honggui Han;Junfei Qiao.
IEEE Transactions on Fuzzy Systems (2010)
No-Reference Quality Assessment of Screen Content Pictures
Ke Gu;Jun Zhou;Jun-Fei Qiao;Guangtao Zhai.
IEEE Transactions on Image Processing (2017)
Model predictive control of dissolved oxygen concentration based on a self-organizing RBF neural network
Hong-Gui Han;Jun-Fei Qiao;Qi-Li Chen.
Control Engineering Practice (2012)
Growing Echo-State Network With Multiple Subreservoirs
Junfei Qiao;Fanjun Li;Honggui Han;Wenjing Li.
IEEE Transactions on Neural Networks (2017)
Nonlinear Model-Predictive Control for Industrial Processes: An Application to Wastewater Treatment Process
Honggui Han;Junfei Qiao.
IEEE Transactions on Industrial Electronics (2014)
Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network
Hong-Gui Han;Lu Zhang;Ying Hou;Jun-Fei Qiao.
IEEE Transactions on Neural Networks (2016)
Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation
Ding Wang;Mingming Ha;Junfei Qiao.
IEEE Transactions on Automatic Control (2020)
Model-Based Referenceless Quality Metric of 3D Synthesized Images Using Local Image Description
Ke Gu;Vinit Jakhetiya;Jun-Fei Qiao;Xiaoli Li.
IEEE Transactions on Image Processing (2018)
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