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哈电工业数字孪生系统预测算法技术研究
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Classification of Disciplines : 理学

First-Level Discipline : 数学

Note : 趋势预测，数字孪生

Funded by : Enterprises and institutions shall entrust scientific and technological projects

Supported by : 哈尔滨电机厂有限责任公司

Date of Project Approval : 2022-11-01

Expected Date of Project Completion : 2024-06-30

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Professor

Gender : Male

Alma Mater : 吉林大学

Education Level : Doctor graduate

Degree : 博士

Status : Employed

School/Department : 数学学院

Discipline : 概率论与数理统计

Business Address : 吉林大学数学楼

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