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DOI: 10.14569/IJARAI.2012.010604
PDF

Visual Working Efficiency Analysis Method of Cockpit Based On ANN

Author 1: Yingchun CHEN
Author 2: Dongdong WEI
Author 3: Gang SUN

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 1 Issue 6, 2012.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: The Artificial Neural Networks method is applied on visual working efficiency of cockpit. A Self-Organizing Map (SOM) network is demonstrated selecting material with near properties. Then a Back-Propagation (BP) network automatically learns the relationship between input and output. After a set of training, the BP network is able to estimate material characteristics using knowledge and criteria learned before. Results indicate that trained network can give effective prediction for material.

Keywords: component; Visual Working Efficiency; Artificial Neural Networks;Cockpit; BP; SOM.

Yingchun CHEN, Dongdong WEI and Gang SUN, “Visual Working Efficiency Analysis Method of Cockpit Based On ANN” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(6), 2012. http://dx.doi.org/10.14569/IJARAI.2012.010604

@article{CHEN2012,
title = {Visual Working Efficiency Analysis Method of Cockpit Based On ANN},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2012.010604},
url = {http://dx.doi.org/10.14569/IJARAI.2012.010604},
year = {2012},
publisher = {The Science and Information Organization},
volume = {1},
number = {6},
author = {Yingchun CHEN and Dongdong WEI and Gang SUN}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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