Visual Working Efficiency Analysis Method of Cockpit Based On ANN

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.

Authors and Affiliations

Yingchun CHEN, Dongdong WEI, Gang SUN

Keywords

Related Articles

 Effect of Sensitivity Improvement of Visible to NIR Digital Cameras on NDVI Measurements in Particular for Agricultural Field Monitoring

 Effect of sensitivity improvement of Near Infrared: NIR digital cameras on Normalized Difference Vegetation Index: NDVI measurements in particular for agricultural field monitoring is clarified. Comparative study i...

The Research of the Relationship between Perceived Stress Level and Times of Vibration of Vocal Folds

Whether a syllable is perceived as stressed or not and whether the stress is strong or weak are hot issues in speech prosody research and speech recognition. A focus of the stress study is on the investigation of the aco...

 A New Genetic Algorithm Based Lane-By-Pass Approach for Smooth Traffic Flow on Road Networks

 Traffic congestion in urban areas is a very critical problem and increasing day-by-day due to increment in number of vehicles and un-expandable traffic infrastructure. Several intelligent control systems have been...

 Evolving Software Effort Estimation Models Using Multigene Symbolic Regression Genetic Programming

Software has played an essential role in engineering, economic development, stock market growth and military applications. Mature software industry count on highly predictive software effort estimation models. Correct es...

Poultry Diseases Warning System using Dempster-Shafer Theory and Web Mapping

In this research, the researcher built a Web Mapping and Dempster-Shafer theory as an early warning system of poultry diseases. Early warning is the provision of timely and effective information, through identified insti...

Download PDF file
  • EP ID EP98092
  • DOI -
  • Views 159
  • Downloads 0

How To Cite

Yingchun CHEN, Dongdong WEI, Gang SUN (2012). Visual Working Efficiency Analysis Method of Cockpit Based On ANN. International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(6), 21-25. https://europub.co.uk/articles/-A-98092