location:Home > 2023 Vol.6 Feb.No1 > Study on Nonlinear Mathematical Model for Fitting the Complex Changing Characteristics of Ship's Volume

2023 Vol.6 Feb.No1

  • Title: Study on Nonlinear Mathematical Model for Fitting the Complex Changing Characteristics of Ship's Volume
  • Name: MarieDavis
  • Company: California Miramar University ,USA
  • Abstract:

    The existing mathematical model of ship logistics volume can not reflect the current trend of ship logistics volume. In order to further understand the complex change process of ship logistics volume, a nonlinear mathematical model for fitting the complex change characteristics of ship logistics volume is proposed. By establishing the basic model of cargo flow, the basic form of ship cargo flow change under complex environment is constructed; The introduction and optimization of complex change parameters, and the introduction of the basic model of the actual volume change parameters; The fitting calculation predicts the cost and flow, and obtains the non-linear mathematical model for fitting the complex change characteristics of ship cargo flow. Through the import and debugging of simulation instance data, it shows that; The logistics volume relationship index reflected by the established model data is basically consistent with the change index of the port volume of a city in China in 2018. The model analysis error index is less than 2.3, which has strong applicability.


  • Keyword: logistics volume; Complex changes; Fitting; Nonlinear mathematical model
  • DOI: 10.12250/jpciams2023090301
  • Citation form: MarieDavis.Study on Nonlinear Mathematical Model for Fitting the Complex Changing Characteristics of Ship's Volume[J]. Computer Informatization and Mechanical System,2023,Vol.6,pp.1-3
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[2]Zhang Xixi, Ji Xiaogang, Hu Haitao,et al. Point Cloud Segmentation Method for Complex Micro-Surface Based on Feature Line Fitting[J].Laser & Optoelectronics Progress, 2020, 57(06): 271-279.

[3]Cai Wanzhen, Huang Han A Model Based on the Combination of BP and RBF Neural Network for Port Logistic Demand Forecasting[J].Journal of Zhengzhou University(Engineering Science), 2019, 40(05): 84-90.

[4]Li Xue, Zhang Linwei, Jiang Tao, et al. General Algorithm for Exploring Security Region Boundary in Power Systems Using Lagrange Multiplier[J].Proceedings of the CSEE, 2021, 41(15): 5139-5153.


Tsuruta Institute of Medical Information Technology
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