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Los Angeles, CA
March 31, 2009 to April 2, 2009
ISBN: 978-0-7695-3507-4
pp: 153-157
ABSTRACT
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, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 153-157, doi:10.1109/CSIE.2009.1009
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