Modeling a stochastic age-structured capital system with Poisson jumps using neural

来源: 理学院 作者:马国强 添加日期:2019-11-07 08:42:43 阅读次数:

报告题目:Modeling a stochastic age-structured capital system with Poisson jumps  using neural networks
  报 告 人:张启敏 (宁夏大学数学统计学院,教授、博导)
  报告时间:2019年11月11日 上午9:50
  报告地点:格致中楼500会议室
  摘要:In this talk, an approach is investigated for modeling a stochastic age-structured capital system (SASCS) with Poisson jumps, in which the transfer rate of capital, noise intensity and jump intensity are approximated by feedforward neural networks (FNNs). The approximate stock of capital for the system is calculated using Euler’s scheme in time discretization. Based on Barkholder-Davis-Gundys inequality and Gronwalls lemma, the error between the approximate stock of capital and the actual stock of capital is estimated by using mean squares. Theoretical analysis of the convergence of the approximate stock of capital is conducted.
  报告人简介:张启敏,宁夏大学二级教授,博士研究生导师,宁夏自治区313人才。中国生物数学学会常务理事,中国人口学会理事和宁夏统计学会理事。长期从事生物种群及固定资产建模的数值计算、种群动力学行为和最优控制理论研究。主持完成国家自然基金项目2项、国家社科基金项目1项和省部级项目6项,目前在研国家自然基金1项。出版学术专著2部,发表SSCI和SCI检索论文60余篇。
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理学院
2019年11月7日

 

 



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