報(bào)告題目：Stability analysis of quaternion-valued neural networks with time delay

報(bào)告人：涂正文

報(bào)告時(shí)間：2023年12月15日15:30-16:10

報(bào)告地點(diǎn)：數(shù)學(xué)與統(tǒng)計(jì)學(xué)院四樓會(huì)議室

報(bào)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.

報(bào)告人簡介：涂正文,，博士,，重慶三峽學(xué)院數(shù)學(xué)與統(tǒng)計(jì)學(xué)院（三峽大數(shù)據(jù)學(xué)院）教授，碩士生導(dǎo)師,，重慶市數(shù)學(xué)學(xué)會(huì)理事,，重慶市工業(yè)與應(yīng)用數(shù)學(xué)學(xué)會(huì)理事,。2020年入選重慶市巴渝學(xué)者-青年學(xué)者人才計(jì)劃，同年入選重慶市中青年骨干教師,，2022年入選萬州區(qū)“平湖英才”,，入選重慶三峽學(xué)院首批“高層次人才—?jiǎng)?chuàng)新人才”,。先后主持國家自然科學(xué)基金、重慶市自然科學(xué)基金等省部級及以上項(xiàng)目7項(xiàng),，在Nonlinear Analysis: Real World Applications,、Nonlinear Dynamics、Neural Networks等國內(nèi)外知名期刊上發(fā)表SCI期刊論文30余篇,，ESI高被引論2篇,。碩士學(xué)位論文獲湖北省優(yōu)秀碩士學(xué)位論文，獲首屆川渝科技學(xué)術(shù)大會(huì)優(yōu)秀論文（重慶市）三等獎(jiǎng)1項(xiàng),。

邀請人：魏代俊