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Machine Learning and Urban Drainage Systems: State-of-the-Art Review
2021
Water
In the last decade, machine learning (ML) technology has been transforming daily lives, industries, and various scientific/engineering disciplines. In particular, ML technology has resulted in significant progress in neural network models; these enable the automatic computation of problem-relevant features and rapid capture of highly complex data distributions. We believe that ML approaches can address several significant new and/or old challenges in urban drainage systems (UDSs). This review
doi:10.3390/w13243545
fatcat:l3vq6vefkfaybh4nl22zzk5kte