Abstract
The production of earthwork is an important index to evaluate the performance of dredgers. Because the parameters affecting production are numerous and not independent of each other, it is easy to overfit the production model and have low accuracy. In view of this problem, based on the measured data of a Trailing Suction Hopper Dredger (TSHD), three variable selection methods are applied to select the parameters that can affect the yield most and the inputs of the final production model are determined. The results show that the deleted and retained parameters conform to the actual working conditions. Finally, the advantages and disadvantages of these three methods and their applicability under different working conditions of dredgers are analyzed.
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Acknowledgments
This work was financially supported by the Science and Technology Commission of Shanghai Municipality of China under Grant (No. 17511107002).
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Zhang, Y., Su, Z., Fu, J. (2018). Variable Selection Methods in Dredger Production Model. In: Li, K., Fei, M., Du, D., Yang, Z., Yang, D. (eds) Intelligent Computing and Internet of Things. ICSEE IMIOT 2018 2018. Communications in Computer and Information Science, vol 924. Springer, Singapore. https://doi.org/10.1007/978-981-13-2384-3_15
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DOI: https://doi.org/10.1007/978-981-13-2384-3_15
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