报告题目：随机配置机：原理与展望

报 告 人： 王殿辉

报告摘要：基于随机配置网络（SCN）概念，我们最近开发了一种先进的随机学习器模型，称为随机配置机（SCM），它由机制模型（或模糊系统）和轻量级SCN模型组成。这一里程碑式的进展极大地促进了随机学习理论知识的进步和基于loT的工业应用的轻量级计算技术的发展。本演讲旨在介绍SCM的一些基础知识及其在过程工业中的应用前景。

报告人简介：Dr.Wang was awarded his PhD degree(March 1995)in Industrial Automation from Northeastern University,China.From Sept.1995 to June 2001,he worked as a Postdoctoral Fellow at Nanyang Technological University,Singapore and The Hong Kong Polytechnic University, Hong Kong,China.He joined La Trobe University in July 2001 and worked as a Reader and Associate Professor in the Department of Computer Science and Information Technology until the end of 2020,and with an adjunct appointment from January 2021.Since 2017,Dr Wang has been a visiting Professor at State Key Laboratory of Synthetical Automation of Process Industries, Northeastern University,China. In July 2021,He joined the Institute of Artificial Intelligence at China University of Mining and Technology. He is the Funding Director of Research Center for Stochastic Configuration Machines. His current research focuses on Stochastic Configuration Machines(SCIM) for big industrial data modeling and analytics,lightweight computing,and interpretable Altechnology. Dr. Wang published more than 270 technical papers on applied mathematics,control engineering and computer sciences. He is a Senior Member of IEEE serving as an executive Editor-in-Chief for Industrial Artificial Intelligence,Associate Editor for TCYB,TFS,INS,AIR; and WIREs Data Ming and Knowledge Discovery.

报告时间：2024年4月10日  星期三  9：30-11：30

报告地点：腾讯会议：715-206-869及哲理楼139

联 系 人：张久军