<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

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

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"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...

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

Online veröffentlicht: 03. Juni 2023

Seitenbereich: 2873 - 2882

Eingereicht: 02. Aug. 2022

Akzeptiert: 11. Jan. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00004

Schlüsselwörter
Fusion neural network, Attribute hierarchy method, Ideological and political subject evolution model, Conditional probability, Attribute weight

© 2023 Huijuan Tong, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Online veröffentlicht: 03. Juni 2023

Seitenbereich: 2873 - 2882

Eingereicht: 02. Aug. 2022

Akzeptiert: 11. Jan. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00004

SchlüsselwörterFusion neural network, Attribute hierarchy method, Ideological and political subject evolution model, Conditional probability, Attribute weight

© 2023 Huijuan Tong, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Fusion neural network, Attribute hierarchy method, Ideological and political subject evolution model, Conditional probability, Attribute weight