基于概率神经元网络模型的高校政治教学系统构建  

Construction of Politics Teaching System in Colleges and Universities Based on Probabilistic Neural Network Model

作　　者：张咪乐 ZHANG Mi-le(Xi'an University of Posts&telecommunications,Xi'an 710121 China)

机构地区：[1]西安邮电大学

出　　处：《自动化技术与应用》2020年第1期58-60,共3页Techniques of Automation and Applications

摘　　要：随着计算机技术的快速发展,智能化已逐渐成为解决各行业难题的重要手段。本文以现代传媒为手段,以高校思想政治文化教育为研究背景,通过建立基于高校政治文化深度的人工智能网络研究性学习平台,构建后以现代媒体传播视角的系统。介绍了基于概率神经网络,从现代代媒体思想政治文化传播系统建设的角度出发,通过MATLAB验证了基于概率神经网络的人工智能预测具有良好的收敛性和容错能力以及数据处理能力。With the rapid development of computer technology,intelligence gradually becomes an important means to solve the problems of various industries.This paper takes modern media as the means and the ideological and political culture education of colleges and universities as the research background.By establishing an artificial intelligence network research learning platform based on the political culture depth of colleges and universities,this paper constructs a system with modern media communication perspective.Based on probabilistic neural network,this paper proves that artificial intelligence prediction based on probabilistic neural network has good convergence and fault tolerance and data processing capability from the perspective of modern media media ideological and political culture communication system construction.

关 键 词：现代传媒 人工智能 预测 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]