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Rearch on AI industry prediction based on Markov model

Published: 17 January 2023 Publication History

Abstract

Artificial intelligence has become the core driving force of a new round of industrial transformation, and scientific and accurate artificial intelligence industry development prediction is of great strategic significance for improving the quality of industrial development and future industrial chain development planning. Taking the development of artificial intelligence industry in Tianjin as an example, the future development trend of artificial intelligence industry is predicted and analyzed by the quantitative comparison and analysis of Markov linear programming mathematical model. Using variable substitution method, the quadratic programming model is transformed into a linear programming model, which not only has mature solution software, but also can be solved analytically, which is more convenient and reliable. The Markov property programming model reduces the time, simplifies the complexity, reduces the difficulty of model solving, and the prediction accuracy value is high, with the average error value accounting for 2.96%, 2.07%, and 5.03%. Finally, combined with the artificial intelligence refinement industry, the countermeasures to cultivate and accelerate the development of artificial intelligence industry in Tianjin are discussed from three levels: basic industry support, technology industry innovation and application industry expansion.

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    AISS '22: Proceedings of the 4th International Conference on Advanced Information Science and System
    November 2022
    396 pages
    ISBN:9781450397933
    DOI:10.1145/3573834
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 January 2023

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    Author Tags

    1. Markov linear programming model analysis
    2. artificial intelligence industry
    3. forecast

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    • Research-article
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    • Refereed limited

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    • Tianjin Philosophy and Social Sciences Planning Project Research on the Development Path of Tianjin Artificial Intelligence Industry Integration under the Background of New Infrastructure

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    AISS 2022

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    Overall Acceptance Rate 41 of 95 submissions, 43%

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