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 in:	Applied mathematics and nonlinear sciences 2023-07, Vol.8 (2), p.2873-2882
Main Author:	Tong, Huijuan
Format:	Article
Language:	eng
Subjects:	92B20 Attribute hierarchy method Attribute weight Conditional probability Fusion neural network Ideological and political subject evolution model
Online Access:	Get full text
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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.
ISSN:	2444-8656 2444-8656