报告题目：机器学习算法的研究介绍及申请公派日本留学经验交流

报 告 人：彭曦霆博士,日本国立室兰工业大学工学专攻

简介：本科和硕士均毕业于大连交通大学理学院数学与应用数学专业，从事偏微分方程研究。现在日本国立室兰工业大学攻读工学博士学位，从事机器学习算法研究领域。

报告时间：9月12日（星期三）下午2:30-3:30

报告地点：沙河口校区二号楼404

报告摘要：(1)Deep learning is based on the back propagation (BP) algorithm, which needs lots of network training parameters and multiple iterations to determine weights, so that it suffer from a time-consuming training process because of a large number of connecting parameters in filters and layers. Therefore, this topic will put forward propose a scheme based on the Broad Learning System (BLS) algorithm for this problem, which does not need to adjust weights in the training process. Furthermore, we will consider the tradeoff between the speed and the accuracy to meet the flexibility and scalability of the proposed method. 

(2)面向研究生及国际班同学介绍日本留学经历及留学经验。

 邀请各位老师，理学院研究生及机械国际班感兴趣的同学参加！

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