Academic report of Prof. Shunfeng Su from Taiwan University of Science and Technology

Name: Professor Shunfeng Su

Date：June 9 （Friday）, 15:00—16:00

Topic：A Novel Fuzzy Modeling Structure-Decomposed Fuzzy System

Abstract：

Decomposed fuzzy system (DFS) is a fuzzy system with a novel structure. Due to its excellent learning performance, DFS is originally proposed for an online learning control scheme and is shown to have effective learning performance. This study is about the use of DFS for modeling dynamic systems. Since the learning mechanism used in online learning control is not suitable for modeling tasks, a commonly-used back propagation learning algorithm is adapted for the use of DFS in modeling dynamic systems. The structure of DFS is to decompose each fuzzy variable into fuzzy sub-systems that are called component fuzzy systems. From the simulation results, it is evident that the proposed DFS can have much faster convergent speed. In addition, the DFS has a smaller testing error than those of other fuzzy systems

Bio:

Prof. Su is a Fellow of the IEEE and CAC. He was the President of IFSA and board member of SMCS and Youth branch section Chair. His research interests include machine learning, intelligence control, fuzzy system, neural network and so on.More than 200 papers have been published in the mentioned areas. He is also an Associate Editor of IEEE Transactions on Cybernetics, IEE Transactions on Fuzzy Systems, IEEE Access and the Editor-in-Chief of International Journal of Fuzzy Systems.