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

Abstract

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.