from    
to    
search  

 


【数学之美-杰出学者讲坛】2023年第1期 || Energy-stable parametric finite eleme...
工业生物催化论坛-合成生物学与生物制造: 从途径突破到过程开发
A Framework for Digital Education - the Duke-NUS Approach and Experience
学堂班系列讲座:“光响应智能分子材料与仪器研发”
报告题目:
Automatic Structure Identification and Parameter Estimation of Fuzzy Inference Systems via Reinforcement Learning
 报告人:
Meng Joo Er
报告时间:
2007-09-05 10:00
报告地点:
FIT楼1区312
主办单位:
计算机系智能技术与系统国家重点实验室
  简介:

 

内容简介: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, the structure and preconditioning parts of an 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 Organizing 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 FISs. Simulation studies on wall-following and obstacle avoidance tasks by a mobile robot show that the proposed approaches are superior.

 

报告人简介:Dr Meng Joo Er received his B. Eng and M. Eng degrees in Electrical Engineering from the National University of Singapore in 1985 and 1988 respectively and a Ph.D degree in Systems Engineering from the Australian National University in 1992. From 1987 to 1989, he worked as a Research and Development Engineer in Chartered Electronics Industries Pte Ltd and a Software Engineer in Telerate Research and Development Pte Ltd respectively. He served as Director of the Intelligent Systems Centre, a University Research Centre co-funded by Nanyang Technological University (NTU) and Singapore Engineering Technologies from 2003 to 2006. Currently, he is an Associate Professor in the School of Electrical and Electronic Engineering (EEE), NTU.

His research interests include control theory and applications, fuzzy logic and neural networks, computational intelligence, cognitive systems, robotics and automation, sensor networks and biomedical engineering. He has authored two books entitled “Dynamic Fuzzy Neural Networks: Architectures, Algorithms and Applications” and “Engineering Mathematics with Real-World Applications” published by McGraw Hill in 2003 and 2005 respectively, eight book chapters and more than 300 refereed journal and conference papers in his research areas of interest.

 

 

 

 

 

今日相关信息
进程代数中的拓扑结构、随机性与噪音
Gold Nanocages: A New Class of Plasmo...
Laser writing systems for diffractive...
科学研究方法谈
 
同类别相关信息
复杂性复杂系统与人工生命
百年校庆学术活动暨清华论坛第39讲:A...
中国哲学经典讲座(4):《瑜伽师地论》...
压塑机的节能控制
非线性系统辨识中模型选择研究的现状及展...
学术活动