Application of big data technology platform based on deep learning in smart tax evaluation systemApplication of big data technology platform based on deep learning in smart tax evaluation…Y. Wang

被引:0
|
作者
Ying Wang [1 ]
机构
[1] North China Institute of Aerospace Engineering,
关键词
Deep learning; Big data technology platform; Smart taxation; Evaluation system;
D O I
10.1007/s00500-023-08457-6
中图分类号
学科分类号
摘要
In today’s modern transformation of tax affairs, as information technology and Internet technology are constantly updated and become more advanced, it is necessary to reasonably change the processing flow of tax affairs, such as breaking the time and space constraints to make it more convenient. It is an inevitable need to complete the reform and optimize the business environment through the “release, management and service” policy to achieve technological transformation. The big data technology platform can well accomplish the expected tasks, thus providing systematic support for tax work. In this context, this paper integrates the deep learning technology with the big data technology platform to complete the design of the mobile tax system for taxpayers. It is convenient and fast, and can realize the creation of an intelligent tax evaluation system, so as to carry out tax management, information retrieval, information release, user communication and system management, and can also safely repair the system itself. Through the design experiment, the user-defined query and retrieval function of the system is tested. The results show that the comprehensive query module of the system has good security, and the evaluation system can meet the user's requirements for ease of use and friendly system interface. This paper has completed the construction of smart tax evaluation system by integrating deep learning technology and big data technology platform.
引用
收藏
页码:13917 / 13927
页数:10
相关论文
共 50 条
  • [1] Application of big data technology platform based on deep learning in smart tax evaluation system
    Wang, Ying
    SOFT COMPUTING, 2023, 28 (23) : 13917 - 13927
  • [2] Modeling of performance evaluation of educational information based on big data deep learning and cloud platform
    Ye, Jun
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 38 (06) : 7155 - 7165
  • [3] Application of Internet big data analysis technology based on deep learning in tourism marketing performance evaluation
    Su, Xiaoguang
    Yin, Wei
    SOFT COMPUTING, 2023, 28 (Suppl 2) : 595 - 595
  • [4] A Smart Service Warehousing Platform Supporting Big Data Deep Learning Modeling Analysis
    Chang, Chih-Hung
    Hsu, Tse-Chuan
    Chu, William Cheng-Chung
    Hung, Che-Lun
    Chiu, Ping-Fang
    JOURNAL OF INTERNET TECHNOLOGY, 2021, 22 (02): : 483 - 489
  • [5] Research on Big Data Artificial Intelligence Technology Based on Deep Learning
    Mei, Guang
    PROCEEDINGS OF THE WORLD CONFERENCE ON INTELLIGENT AND 3-D TECHNOLOGIES, WCI3DT 2022, 2023, 323 : 243 - 250
  • [6] MeLoN: Distributed Deep Learning meets the Big Data Platform
    Kang, Dae-Cheol
    Heo, Seoungbeom
    Jang, Hyeounji
    Lee, Hyeock-Jin
    Cho, Minkyoung
    Kim, Jik-Soo
    2021 IEEE INTERNATIONAL CONFERENCE ON AUTONOMIC COMPUTING AND SELF-ORGANIZING SYSTEMS COMPANION (ACSOS-C 2021), 2021, : 32 - 37
  • [7] Measurement Method and Application of a Deep Learning Digital Economy Scale Based on a Big Data Cloud Platform
    Zhao, Yanmei
    Zhou, Yixin
    JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING, 2022, 34 (03) : 1 - 17
  • [8] Smart Adaptive Big Data Analysis with Advanced Deep Learning
    Juuso, Esko K.
    OPEN ENGINEERING, 2018, 8 (01): : 403 - 416
  • [9] Analysis and Performance Evaluation of Deep Learning on Big Data
    Matteussi, Kassiano J.
    Zanchetta, Breno F.
    Bertoncello, Germano
    Dos Santos, Jobe D. D.
    Dos Anjos, Julio C. S.
    Geyer, Claudio F. R.
    2019 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC), 2019, : 682 - 687
  • [10] Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning
    Li, Xiaoming
    Liu, Hao
    Wang, Weixi
    Zheng, Ye
    Lv, Haibin
    Lv, Zhihan
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2022, 128 : 167 - 177