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The control application and simulation - Particle swarm optimization exploration of control application for user intention toward mobile Mandarin learning system

机译:控制应用与仿真-面向移动普通话学习系统的用户意图控制应用的粒子群优化探索

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摘要

This study introduces the use of fuzzy neural networks with intent to clearly visualize the advantages of the approach. Particle swarm optimization as the underlying optimization tool is discussed. Different models of fuzzy neural networks can be envisioned. It is worth stressing that the underlying concept is general enough and any other formalism of information granules could be considered as well. Over the past decades, the Chinese market has developed rapidly, especially on intelligent robot interaction and even tension leg platform. Consequently, Chinese learning has increased. E-learning has also become another learning mechanism and is already quite popular. In the study, optical character recognition software is developed in the android phone system. A questionnaire is designed as a base technology acceptance model, and, according to the dimensions, to make assumptions. Using a structural equation model analysis framework to analyze the recovery over the questionnaire, the conclusion of this study and the possible direction of future research are finally arrived at.
机译:本研究介绍了模糊神经网络的使用,目的是清楚地可视化该方法的优点。讨论了粒子群优化作为基础优化工具。可以设想模糊神经网络的不同模型。值得强调的是,基本概念足够笼统,也可以考虑其他任何形式的信息颗粒。在过去的几十年中,中国市场发展迅速,特别是在智能机器人交互甚至张力腿平台上。因此,汉语学习有所增加。电子学习也已经成为另一种学习机制,并且已经非常流行。在这项研究中,光学字符识别软件是在android手机系统中开发的。问卷被设计为基本技术接受模型,并根据维度进行假设。利用结构方程模型分析框架对问卷的回收率进行分析,最终得出本研究的结论和未来研究的可能方向。

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