报告题目：Stability analysis of quaternion-valued neural networks with time delay

报告人：涂正文

报告时间：2023年12月15日15:30-16:10

报告地点：数学与统计学院四楼会议室

报告摘要：Quaternion-valued neural networks, which equips with merits of quaternions and neuralnetworks,can process high-dimensionaldata efficiently and quickly, and it has great potential and broad prospects in many fields such as data processing and artificial intelligence. And the stability of designed neural networks plays a key role in its application. This report will mainly focus on the stability of delayed quaternion-valued neural networks, and several stability criteria for different type of quaternion-valued neural networks will been presented.

报告人简介：涂正文，博士，重庆三峡学院数学与统计学院（三峡大数据学院）教授，硕士生导师，重庆市数学学会理事，重庆市工业与应用数学学会理事。2020年入选重庆市巴渝学者-青年学者人才计划，同年入选重庆市中青年骨干教师，2022年入选万州区“平湖英才”，入选重庆三峡学院首批“高层次人才—创新人才”。先后主持国家自然科学基金、重庆市自然科学基金等省部级及以上项目7项，在Nonlinear Analysis: Real World Applications、Nonlinear Dynamics、Neural Networks等国内外知名期刊上发表SCI期刊论文30余篇，ESI高被引论2篇。硕士学位论文获湖北省优秀硕士学位论文，获首届川渝科技学术大会优秀论文（重庆市）三等奖1项。

邀请人：魏代俊