AHM-FC Model in the Evolution Analysis of Ideological and Political Subjects

This paper proposes a new fusion neural network (FC) based on attribute hierarchy (AHM). This paper studies the evolution model of ideological and political subjects based on this method. It is abbreviated as the AHM-FC model with unequal weighted features. Then, based on the Bayesian network and le...

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Bibliographic Details
Published inApplied mathematics and nonlinear sciences Vol. 8; no. 2; pp. 2873 - 2882
Main Author Tong, Huijuan
Format Journal Article
LanguageEnglish
Published Beirut Sciendo 01.07.2023
De Gruyter Poland
Subjects
92B20
Attribute hierarchy method
Attribute weight
Conditional probability
Fusion neural network
Ideological and political subject evolution model
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Summary:This paper proposes a new fusion neural network (FC) based on attribute hierarchy (AHM). This paper studies the evolution model of ideological and political subjects based on this method. It is abbreviated as the AHM-FC model with unequal weighted features. Then, based on the Bayesian network and least squares feature hierarchy analysis, this paper gives the conditional probability and attribute weight of ideological and political subjects. Furthermore, this paper establishes the theme evolution model of “double fusion and three stages.” In this way, it has been fully applied in ideological and political teaching in colleges and universities. Experimental results show that FC-AHM based on unequal weights can predict the evolution of ideological and political objects with higher accuracy.
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ISSN:2444-8656
2444-8656
DOI:10.2478/amns.2023.2.00004