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- W4200466503 abstract "Abstract The dredging operation of the strander dredger is complex, and the mathematical model established according to its key equipment characteristics is not possible to describe such a system having time degeneration and non-linear. Therefore, based on the analysis of mud formation process of dredger, RBF-ARX model is used to model the cutting process, and mud concentration is taken as the output. This modeling method is a combination model based on the theory of Auto-Regressive eXogenous (ARX) model and Gauss radial basis function (Radial Basis Function) neural network (RBF). The comparison between the simulation results and the actual data shows that the model can accurately describe the dynamic characteristics of cutter suction dredger in the cutting process." @default.
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- W4200466503 date "2021-12-01" @default.
- W4200466503 modified "2023-09-26" @default.
- W4200466503 title "Cutting Process Model Design of Cutter Suction Dredger Based on Auto Regressive eXogenous and Radial Basis Function model" @default.
- W4200466503 doi "https://doi.org/10.1088/1742-6596/2137/1/012064" @default.
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