摘要
利用局部观测数据研究了一维热传导方程系数与初值同时反演问题。首先利用函数代换及热传导方程解的解析延拓性,证明了基于局部观测数据下系数与初值同时反演问题的唯一性;然后基于深度神经网络,构造了同时反演问题的反演算法;最后通过构造具有解析解和不具有解析解的数值算例,验证了反演算法的有效性。
The simultaneous inversion of coefficient and initial values for one-dimensional heat conduction equation is studied using local observation data.Firstly,the uniqueness of the simultaneous identification of coefficient and initial values is proved by using function substitution and analytic continuation technique of the solutions of parabolic equation based on the local observation data.Then,based on deep neural network,the inversion algorithm of simultaneous inversion problem is constructed.Finally,numerical examples with and without analytical solutions are constructed to verify the effectiveness of the inversion algorithm.
作者
陈振兴
万广红
阮周生
CHEN Zhen-xing;WAN Guang-hong;RUAN Zhou-sheng(School of Science,East China University of Technology,Nanchang,Jiangxi 330013,China)
出处
《井冈山大学学报（自然科学版）》
2024年第1期16-22,共7页
Journal of Jinggangshan University (Natural Science)
基金
国家自然科学基金项目(12061008,11861007)
江西省自然科学基金项目(20202BABL201004)。
关键词
热传导方程
同时反演问题
唯一性
解析延拓
heat conduction equation
simultaneous inversion problem
uniqueness
analytic continuation
