What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Artificial neural network
His main research concerns Artificial intelligence, Fuzzy control system, Fuzzy rule, Fuzzy logic and Artificial neural network.
His studies link Pattern recognition with Artificial intelligence.
The study incorporates disciplines such as Feature extraction, Silhouette and Computer vision in addition to Fuzzy control system.
The Fuzzy rule study combines topics in areas such as Defuzzification, Fuzzy classification, Neuro-fuzzy, Fuzzy set operations and Machine learning.
Chia-Feng Juang works mostly in the field of Fuzzy logic, limiting it down to concerns involving Particle swarm optimization and, occasionally, Crossover and Genetic algorithm.
His Artificial neural network research is multidisciplinary, incorporating elements of Gesture recognition, Image segmentation, Cluster analysis and Reinforcement learning.
His most cited work include:
- An online self-constructing neural fuzzy inference network and its applications (837 citations)
- A hybrid of genetic algorithm and particle swarm optimization for recurrent network design (795 citations)
- A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms (402 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Artificial intelligence, Fuzzy logic, Fuzzy control system, Neuro-fuzzy and Pattern recognition.
The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Computer vision.
His Fuzzy logic research includes themes of Mathematical optimization, Genetic algorithm, Ant colony optimization algorithms and Control theory, Control theory.
Chia-Feng Juang works in the field of Fuzzy control system, focusing on Fuzzy rule in particular.
His Neuro-fuzzy study combines topics in areas such as Fuzzy number, Fuzzy set operations, Fuzzy classification and Adaptive neuro fuzzy inference system.
His work on Backpropagation is typically connected to Process control as part of general Artificial neural network study, connecting several disciplines of science.
He most often published in these fields:
- Artificial intelligence (61.80%)
- Fuzzy logic (57.30%)
- Fuzzy control system (48.31%)
What were the highlights of his more recent work (between 2015-2021)?
- Fuzzy logic (57.30%)
- Artificial intelligence (61.80%)
- Fuzzy control system (48.31%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Fuzzy logic, Artificial intelligence, Fuzzy control system, Ant colony optimization algorithms and Robot.
His biological study spans a wide range of topics, including Object, Support vector machine and Cluster analysis.
Chia-Feng Juang usually deals with Artificial intelligence and limits it to topics linked to Pattern recognition and Deep learning, Feature and Artificial neural network.
His Fuzzy control system research is multidisciplinary, relying on both Mathematical optimization, Fuzzy set and Robot control.
The Ant colony optimization algorithms study which covers Control theory that intersects with Multi-objective optimization.
As part of one scientific family, he deals mainly with the area of Robot, narrowing it down to issues related to the Control theory, and often Optimization problem, Particle swarm optimization, Hexapod and Genetic algorithm.
Between 2015 and 2021, his most popular works were:
- An Interpretable Fuzzy System Learned Through Online Rule Generation and Multiobjective ACO With a Mobile Robot Control Application (34 citations)
- Multiobjective Evolution of Biped Robot Gaits Using Advanced Continuous Ant-Colony Optimized Recurrent Neural Networks (32 citations)
- DT-II:Digital twin enhanced Industrial Internet reference framework towards smart manufacturing (28 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Artificial neural network
Chia-Feng Juang focuses on Artificial intelligence, Fuzzy control system, Fuzzy logic, Ant colony optimization algorithms and Control theory.
His studies in Artificial intelligence integrate themes in fields like Algorithm design and Pattern recognition.
Chia-Feng Juang has included themes like Fuzzy number and Fuzzy set in his Fuzzy control system study.
His research on Fuzzy logic often connects related topics like Artificial neural network.
His Ant colony optimization algorithms study also includes fields such as
- Robot that connect with fields like PID controller and Recurrent neural network,
- Multi-objective optimization and related Genetic algorithm, Ant colony and Trajectory.
In general Control theory study, his work on Control theory often relates to the realm of Gait and Preferred walking speed, thereby connecting several areas of interest.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
