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台湾清华大学Wei-chang Yeh教授的学术报告通知

更新时间:2018-05-22 09:40:58

报告题目:A Squeezed Artificial Neural Network for the Symbolic Network Reliability Functions of Binary-State Networks

报告时间:2018528日星期一下午15:00—16:30

报告地点:友谊校区毅字楼218

主持人:郑江滨 教授

主持人单位:西北工业大学软件与微电子学院

报告人:Wei-chang Yeh教授

报告人单位:台湾清华大学

摘要:Network reliability is an important index to the provision of useful information for decision support in the modern world. There is always a need to calculate symbolic network reliability functions (SNRFs) due to dynamic and rapid changes in network parameters. In this brief, the proposed squeezed artificial neural network (SqANN) approach uses the Monte Carlo simulation to estimate the corresponding reliability of a given designed matrix from the Box-Behnken design, and then the Taguchi method is implemented to find the appropriate number of neurons and activation functions of the hidden layer and the output layer in ANN to evaluate SNRFs. According to the experimental results of the benchmark networks, the comparison appears to support the superiority of the proposed SqANN method over the traditional ANN-based approach with at least 16.6% improvement in the median absolute deviation in the cost of extra 2 s on average for all experiments.

报告人简介:Wei-chang Yeh,台湾清华大学工业工程与工程管理系特聘教授,美国德州大学工业工程博士。研究领域包括绿色供应链、云端运算和智慧电网。已在国际知名期刊及国际会议发表论文250余篇。受邀担任国际知名期刊《IEEE可靠性汇刊》和《可靠性工程及系统安全》副主编。他提出了一种被称作简化群优化(SSO)的新型软计算算法,该算法简洁而高效地解决了NP-hard问题。获得授权发明专利50项。由于Yeh教授在工业工程等领域的杰出贡献,被多个国际会议邀请做大会特邀报告(Keynote Speaker),并荣获民国103年度台湾科技部杰出研究奖、民国104年度中国工业工程学会工业工程奖章等荣誉。