报告题目：Automatic Structure Identification and Parameter Estimation of Fuzzy Inference Systems via Reinforcement Learning
报 告 人：Er Meng Joo教授
报告时间： 11月1日下午15：00
报告地点： 南一楼中311会议室
邀 请 方：“多谱信息处理技术”国家级重点实验室
Abstract:
In this talk, two novel approaches termed Dynamic Self-Generated Fuzzy Q-Learning (DSGFQL) and Enhanced Dynamic Self-Generated Fuzzy Q-Learning (EDSGFQL) for automatically generating Fuzzy Inference Systems (FISs) will be presented. In the DSGFQL approach, structure and preconditioning parts of a FIS are generated by Reinforcement Learning (RL) and the epsilon completeness criterion while the consequents are updated by Fuzzy Q-Learning, which is a widely used RL method. An extended Self-Organising Map (SOM) algorithm is used for adjusting the centers of Membership Functions (MFs) to enhance the proposed DSGFQL. The proposed DSGFQL and EDSGFQL methodologies can automatically create, delete and adjust fuzzy rules dynamically and they are superior to most of the existing RL methodologies in generating a FIS. Simulation studies on wall-following and obstacle avoidance tasks by a mobile robot show that the proposed approaches are superior.
Bolograph of Speaker: Professor Er Meng Joo is currently a Full Professor in Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He served as the Founding Director of Renaissance Engineering Programme which is the most popular engineering programme in Singapore, from 2009 to 2012. He served as an elected member of the NTU Advisory Board and a member of the NTU Senate Steering Committee from 2009 to 2012 and 2010 to 2012 respectively.
He has authored five books, 16 book chapters and more than 400 refereed journal and conference papers in his research areas of interest. His areas of expertise are intelligent control theory and applications, fuzzy logic and neural networks and robotics and automation. His current works focus on intelligent control theory and applications, computational intelligence, robotics and automation, sensor networks, biomedical engineering and cognitive science.
In recognition of the significant and impactful contributions to Singapore’s development by his research project entitled “Development of Intelligent Techniques for Modelling, Controlling and Optimizing Complex Manufacturing Systems,” Professor Er won the Institution of Engineers, Singapore (IES) Prestigious Engineering Achievement Award 2011. He is also the only dual winner in Singapore IES Prestigious Publication Award in Application (1996) and IES Prestigious Publication Award in Theory (2001). He received the Teacher of the Year Award for the School of EEE in 1999, School of EEE Year 2 Teaching Excellence Award in 2008 and the Most Zealous Professor of the Year Award 2009. He also received the Best Session Presentation Award at the World Congress on Computational Intelligence in 2006 and the Best Presentation Award at the International Symposium on Extreme Learning Machine 2012. On top of this, he has more than 40 awards at international and local competitions.
Currently, Professor Er serves as the Editor-in-Chief of the International Journal of Electrical and Electronic Engineering and Telecommunications, an Area Editor of International Journal of Intelligent Systems Science, an Associate Editor of eleven refereed international journals including the IEEE Transaction on Fuzzy Systems and an editorial board member of the EE Times. He has been invited to deliver more than 60 keynote speeches and invited talks overseas. He has also been active in professional bodies. Under his leadership as Chairman of the IEEE CIS Singapore Chapter from 2009 to 2011, the Singapore Chapter won the CIS Outstanding Chapter Award 2012. In recognition of his outstanding contributions to professional bodies, he was bestowed the IEEE Outstanding Volunteer Award (Singapore Section) and the IES Silver Medal in 2011. Currently, he serves as an elected member of the IES Council and an Academic Board member of East Institute of Management.
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