Bridge Deterioration Diagnostic System Based on Neural Network Considering Peripheral Environmental Conditions
Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
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.
neural network, peripheral environment, deterioration diagnostic system, AIC, reasoning engine
Sato Ken-ichiro, Takashima Hideyuki, "Bridge Deterioration Diagnostic System Based on Neural Network Considering Peripheral Environmental Conditions", Computer Science and Information Engineering, World Congress on, vol. 04, no. , pp. 153-157, 2009, doi:10.1109/CSIE.2009.1009