报告题目：New Optimization Techniques for TSK Fuzzy Systems
报 告 人：伍冬睿 教授 （华中科技大学）
报告时间：2019年9月20日下午14：30
报告地点：安徽大学（磬苑校区）理工D楼318会议室
报告摘要：Fuzzy systems have achieved great success in numerous applications. However, there are still many challenges in designing an optimal fuzzy system, e.g., how to efficiently optimize its parameters, how to balance the trade-off between cooperation and competition among the rules, how to overcome the curse of dimensionality, how to increase its generalization ability, etc. This talk gives an overview on the functional equivalence between Takagi-Sugeno-Kang (TSK) fuzzy systems and four classic machine learning approaches -- neural networks, mixture of experts, classification and regression trees, and stacking ensemble regression. Inspired by these equivalence, we also propose some novel optimization techniques for TSK fuzzy systems, and validate their effectiveness in both classification and regression problems.
主办单位：计算智能与信号处理教育部重点实验室，
协办单位：物质科学与信息技术研究院，计算机科学与技术学院
欢迎各位老师、同学届时前往！
科学技术处
2019年9月16日