Doboku Gakkai Ronbunshu
Online ISSN : 1882-7187
Print ISSN : 0289-7806
ISSN-L : 0289-7806
A STUDY OF THE PRECISION OF FORECASTING CUT-OFF SLOPE COLLAPSE DURING HEAVY RAIN USING N-HOURS RAINFALL AS RAINFALL FACTORS
Hideaki KIKUCHIKohei FURUKAWASeishi OKUZONOIsao NISHIOKA
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2000 Volume 2000 Issue 644 Pages 55-66

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Abstract
We presented the system that can forecast the collapse of cut-off slope using standard data based on neural network in the preceding paper. Data must be carefully selected for precision forecasting using neural network. In this system, the difference between the non-collapsed data and the collapsed data causes the uncertainty in results. Especially, the rainfall data is very important factors for this system. In this research, we present new rainfall factors called n-hours rainfall and attempt to provide more information for the system to obtain more assured results. We confirm that these factors is applicable to the system.
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© by Japan Society of Civil Engineers
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