Prediction of dredging productivity using a rock and soil classification model

摘要: AbstractThe prediction of dredging productivity plays an important role in controlling the costs and optimizing scheduling process. However, it is very difficult to achieve satisfactory forecasting efficiency because there are so many uncertain variables, including rock, soil, water properties; main performance index dredger; environmental restrictions. In this paper, authors have developed a quantitative classification model for materials under complex conditions, which weight condition attributes calculated using rough-set theory conditional entropy. Then, by considering effect rock soil dredger, influence underwater environment, dredger production was developed. This approach applied land reclamation project Tianjin, China. study case, predicted fairly well ...