Research on Factory Embedded Blast Furnace Temperature Operating System Based on Functional Chain Neural Network Fractional Differential Equation Algorithm
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초록

This paper provides a comprehensive overview of fractional differential equations and their application in university economic management analysis. Initially, it offers a concise summary of relevant theories surrounding fractional differential equations, establishing a robust theoretical framework. Building on this foundation, the study delves into an in-depth analysis of seven prevalent economic management models utilized in university settings. By employing fractional differential equations, the paper not only solves these economic models but also elucidates the underlying economic implications and principles. Furthermore, the research presents a detailed analysis of economic management, drawing logical inferences and insights. The abstract concludes by showcasing practical examples that illustrate the application of fractional differential equations in the realm of economic management. This study bridges theoretical concepts with real-world applications, providing valuable insights for the advancement of economic management strategies in educational institutions. © 2023 Societe de Physique et d'Histoire Naturelle de Geneve. All rights reserved.

키워드

application examplesfractional differential equationmathematical modeluniversity economic managementuniversity financial management
제목
Research on Factory Embedded Blast Furnace Temperature Operating System Based on Functional Chain Neural Network Fractional Differential Equation Algorithm
저자
Jung, Chahn Yong
DOI
10.62227/as/7301
발행일
2023-11
유형
Article
저널명
Archives des Sciences
73
1
페이지
1 ~ 7