Multi Modal Fault Detection System of Virtual Instrument Test System Based on RBF Neural Network

DOI

10.2991/amcce-15.2015.149How to use a DOI?

Keywords

Neural network; Cognition; Virtual language; Simulation; Interactive; Image

Abstract

This paper analyzes the interactive effects of virtual language multimodal through the use of neural network algorithm to understand the language from a multidimensional perspective, which mainly uses the advanced technology of digital language lab to improve its language proficiency. Through the analysis of virtual language simulation, we found that the multimodal virtual language can fully mobilize the visual, auditory, tactile and other sensory stimuli, and with the help of digital voice room vast resources, it can set sound, graphics, text and other information in one, which provides an interactive language environment, so as to meet the development requirements of language cognitive thinking.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dian Zhang
PY  - 2015/04
DA  - 2015/04
TI  - Multi Modal Fault Detection System of Virtual Instrument Test System Based on RBF Neural Network
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 1064
EP  - 1068
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.149
DO  - 10.2991/amcce-15.2015.149
ID  - Zhang2015/04
ER  -