Abstract: The article presents possible applications of neural networks for condition assessment of sewer pipes. The chosen applications of artificial intelligence like defects classifications, defects identification based on their geometrical parameters, modeling the deterioration of operating and construction condition, as well as forecasting the occurrence of corrosion in concrete sewer were characterized.
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