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Frank H. F. Leung
Researcher at Hong Kong Polytechnic University
Publications - 200
Citations - 4707
Frank H. F. Leung is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Fuzzy control system & Fuzzy logic. The author has an hindex of 33, co-authored 197 publications receiving 4378 citations. Previous affiliations of Frank H. F. Leung include National University of Singapore & University of Western Australia.
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Tuning of the structure and parameters of a neural network using an improved genetic algorithm
TL;DR: It is shown that the improved GA performs better than the standard GA based on some benchmark test functions and a neural network with switches introduced to its links is proposed that can learn both the input-output relationships of an application and the network structure using the improvedGA.
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Hybrid Particle Swarm Optimization With Wavelet Mutation and Its Industrial Applications
TL;DR: A new hybrid particle swarm optimization that incorporates a wavelet-theory-based mutation operation is proposed that significantly outperforms the existing methods in terms of convergence speed, solution quality, and solution stability.
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Improved Hybrid Particle Swarm Optimized Wavelet Neural Network for Modeling the Development of Fluid Dispensing for Electronic Packaging
TL;DR: An improved hybrid particle swarm optimization (PSO)-based wavelet neural network (WNN) for modeling the development of fluid dispensing for electronic packaging (MFD-EP) is presented, which incorporates a wavelet-theory-based mutation operation.
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Stability analysis of fuzzy control systems subject to uncertain grades of membership
Hak-Keung Lam,Frank H. F. Leung +1 more
TL;DR: New relaxed stability conditions will be derived to guarantee the stability of this class of fuzzy control systems subject to parameter uncertainties to widen the applicability of the fuzzy control approach.
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Sampled-Data Fuzzy Controller for Time-Delay Nonlinear Systems: Fuzzy-Model-Based LMI Approach
Hak-Keung Lam,Frank H. F. Leung +1 more
TL;DR: By using a descriptor representation, the complexity of the sampled-data fuzzy control system with time delay can be reduced to ease the stability analysis, which effectively leads to a smaller number of LMI-stability conditions.