Frank H. F. Leung

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Machine learning
• Artificial neural network

The scientist’s investigation covers issues in Control theory, Control theory, Fuzzy control system, Nonlinear system and Fuzzy logic. As part of his studies on Control theory, he often connects relevant subjects like Control engineering. He interconnects Control system, Robot, Heuristic and Stability conditions in the investigation of issues within Control theory.

The various areas that Frank H. F. Leung examines in his Fuzzy control system study include Motion planning, Fuzzy set, Mobile robot, Sliding mode control and Mathematical optimization. His Fuzzy logic and Defuzzification and Fuzzy number investigations all form part of his Fuzzy logic research activities. His research investigates the link between Stability and topics such as Computational intelligence that cross with problems in Benchmark and Artificial neural network.

His most cited work include:

• Tuning of the structure and parameters of a neural network using an improved genetic algorithm (604 citations)
• Hybrid Particle Swarm Optimization With Wavelet Mutation and Its Industrial Applications (209 citations)
• Improved Hybrid Particle Swarm Optimized Wavelet Neural Network for Modeling the Development of Fluid Dispensing for Electronic Packaging (158 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Control theory, Fuzzy control system, Fuzzy logic, Control theory and Artificial intelligence. His Control theory study often links to related topics such as Stability conditions. His Fuzzy control system research incorporates elements of Fuzzy number, Fuzzy set, Defuzzification and Mathematical optimization.

Within one scientific family, he focuses on topics pertaining to Lyapunov function under Fuzzy logic, and may sometimes address concerns connected to Stability theory. Particularly relevant to Artificial neural network is his body of work in Artificial intelligence. Frank H. F. Leung combines subjects such as Genetic algorithm and Transfer function with his study of Artificial neural network.

He most often published in these fields:

• Control theory (52.09%)
• Fuzzy control system (38.14%)
• Fuzzy logic (38.14%)

What were the highlights of his more recent work (between 2009-2021)?

• Artificial intelligence (30.23%)
• Fuzzy logic (38.14%)
• Control theory (52.09%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Artificial intelligence, Fuzzy logic, Control theory, Pattern recognition and Support vector machine. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Computer vision and Identification. His study of Fuzzy control system is a part of Fuzzy logic.

His study looks at the relationship between Fuzzy control system and fields such as Mathematical optimization, as well as how they intersect with chemical problems. His work is connected to Control system and Membership function, as a part of Control theory. His Control system study combines topics from a wide range of disciplines, such as Stability, Control theory, Nonlinear system, Fuzzy model and Stability conditions.

Between 2009 and 2021, his most popular works were:

• Stability Analysis of Fuzzy-Model-Based Control Systems (30 citations)
• Quality and robustness improvement for real world industrial systems using a fuzzy particle swarm optimization (24 citations)
• A hybrid evolutionary preprocessing method for imbalanced datasets (12 citations)

In his most recent research, the most cited papers focused on:

• Artificial intelligence
• Machine learning
• Artificial neural network

His primary areas of investigation include Artificial intelligence, Fuzzy logic, Data mining, Pattern recognition and Support vector machine. His Artificial intelligence study combines topics in areas such as Particle swarm optimization and Multi-swarm optimization. His work carried out in the field of Fuzzy logic brings together such families of science as Stability, Control system and Control theory.

His Control theory study integrates concerns from other disciplines, such as Control engineering and Stability conditions. His research investigates the connection between Differential evolution and topics such as Crossover that intersect with problems in Mathematical optimization. His Local optimum research integrates issues from Fuzzy set, Fuzzy control system, Reliability and Benchmark.