This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 WRI World Congress on Computer Science and Information Engineering
Bridge Deterioration Diagnostic System Based on Neural Network Considering Peripheral Environmental Conditions
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
In order to establish the bridge deterioration diagnostic system, this paper argues about the data visualization and how to create neural network as the reasoning engine to predict the deterioration. The visualization system has been almost completed at the present stage, and it explains the details. In addition, the availability of AIC on establishing the neural network has also been discussed. As conclusions, several targets are introduced to complete developing the present system.
Index Terms:
neural network, peripheral environment, deterioration diagnostic system, AIC, reasoning engine
Citation:
Sato Ken-ichiro, Takashima Hideyuki, "Bridge Deterioration Diagnostic System Based on Neural Network Considering Peripheral Environmental Conditions," csie, vol. 4, pp.153-157, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
Usage of this product signifies your acceptance of the Terms of Use.