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Bridge Deterioration Diagnostic System Based on Neural Network Considering Peripheral Environmental Conditions

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2 Author(s)
Ken-ichiro, S. ; Dept. of Archit., Kanto Gakuin Univ., Yokohama, Japan ; Hideyuki, T.

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.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:4 )

Date of Conference:

March 31 2009-April 2 2009