New Media Advertising Communication Analysis Model Based on Extension Neural Network

Sci. Program. Pub Date : 2021-12-29 DOI:10.1155/2021/5969446
Zhe Zhang
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引用次数: 3

Abstract

In order to improve the effect of new media advertising communication analysis, this paper combines the scalable neural network to construct the new media advertising communication analysis model. Moreover, this paper analyzes in detail the basic theories of fuzzy neural network and extension evaluation, the structure design and learning algorithm, and classification of fuzzy neural network. In particular, this paper summarizes the optimization algorithms and methods of neural network structure. In addition, this paper improves the algorithm to meet the needs of new media advertising data analysis and builds an intelligent system framework. The experimental verification shows that the new media advertising communication analysis model based on the extension neural network proposed in this paper meets the new media advertising communication analysis effect.
基于可拓神经网络的新媒体广告传播分析模型
为了提高新媒体广告传播分析的效果,本文结合可扩展神经网络构建了新媒体广告传播分析模型。详细分析了模糊神经网络的基本理论和可拓性评价,模糊神经网络的结构设计和学习算法,模糊神经网络的分类。特别地,本文总结了神经网络结构的优化算法和方法。此外,针对新媒体广告数据分析的需求,本文对算法进行了改进,构建了智能化的系统框架。实验验证表明,本文提出的基于可拓神经网络的新媒体广告传播分析模型符合新媒体广告传播分析效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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