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.

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}
}