山东大学教师主页张慧 Physics-informed neural network algorithm for solving forward and inverse problems of variable-order space-fractional advection

张慧

Gender:Female
Alma Mater:山东大学
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctor
Status:Employed
School/Department:数学学院
Date of Employment:2019-06-11
College: School of Mathematics
Administrative Position:博士后

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Physics-informed neural network algorithm for solving forward and inverse problems of variable-order space-fractional advection–diffusion equations

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Institution:数学学院

Title of Paper:Physics-informed neural network algorithm for solving forward and inverse problems of variable-order space-fractional advection–diffusion equations

Journal:Neurocomputing

First Author:王淑鹏

Document Code:1647792628504907777

Volume:535

Page Number:64-82

Number of Words:5

Translation or Not:No

Date of Publication:2023-05

Release Time:2024-05-16

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