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2018 | 25 | Special Issue S3 |

Tytuł artykułu

Application of evaluation algorithm for port logistics park based on PCA-SVM model

Autorzy

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
To predict the logistics needs of the port, an evaluation algorithm for the port logistics park based on the PCA-SVM model was proposed. First, a quantitative indicator set for port logistics demand analysis was established. Then, based on the grey correlation analysis method, the specific indicator set of port logistics demand analysis was selected. The advantages of both principal component analysis and support vector machine algorithms were combined. The PCA-SVM model was constructed as a predictive model of the port logistics demand scale. The empirical analysis was conducted. Finally, from the perspective of the structure, demand, f low pattern and scale of port logistics demand, the future logistics demand of Shenzhen port was analysed. Through sensitivity analysis, the main inf luencing factors were found out, and the future development proposals of Shenzhen port were put forward. The results showed that the port throughput of Shenzhen City in 2016 was 21,328,200 tons. Compared with the previous year, it decreased by about 1.74 %. In summary, the PCA-SVM model accurately predicts the logistics needs of the port

Słowa kluczowe

Wydawca

-

Rocznik

Tom

25

Opis fizyczny

p.29-35,fig.,ref.

Twórcy

autor
  • School of Business, Central South University, Changsha, Hunan 410083, China

Bibliografia

  • 1. Y. K. Lin, C. T. Yeh, and C. F. Huang, A simple algorithm to evaluate supply-chain reliability for brittle commodity logistics under production and delivery constraints, Annals of Operations Research, Vol. 244, No. 1, pp. 67–83, 2016.
  • 2. C. Fresno, G. A. González, G. A. Merino, A. G. Flesia, O. L. Podhajcer, and A. S. Llera, A novel non-parametric method for uncertainty evaluation of correlation-based molecular signatures: its application on pam50 algorithm, Bioinformatics, Vol. 33, No. 5, pp. 693, 2017.
  • 3. J. L. Hope, A. E. Sinha, B. J. Prazen, and R. E. Synovec, Evaluation of the dotmap algorithm for locating analytes of interest based on mass spectral similarity in data collected using comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry, Journal of Chromatography A, Vol. 1086, No. 1, pp. 185–192, 2016.
  • 4. J. Wu, J. Chu, Q. Zhu, P. Yin, and L. Liang, Dea cross-efficiency evaluation based on satisfaction degree: an application to technology selection, International Journal of Production Research, Vol. 54, No. 20, pp. 1–18, 2016.
  • 5. X. Qi, G. Wu, K. Boriboonsomsin, and M. J. Barth, Development and evaluation of an evolutionary algorithm-based online energy management system for plug-in hybrid electric vehicles, IEEE Transactions on Intelligent Transportation Systems, Vol. 99, pp. 1–11, 2016.
  • 6. M. W. Li, J. Geng, W. C. Hong, and Z. Y. Chen, A novel approach based on the Gauss-vSVR with a new hybrid evolutionary algorithm and input vector decision method for port throughput forecasting Neural Computing and Applications, Vol. 28, No. 1, pp. 621–640, 2017.
  • 7. Y. C. Yang, and S. L. Chen, Determinants of global logistics hub ports: Comparison of the port development policies of Taiwan, Korea, and Japan, Transport Policy, Vol. 45, pp. 179–189, 2016.
  • 8. J. Foraker, S. Lee, and E. Polak, Validation of a strategy for harbor defense based on the use of a min‐max algorithm receding horizon control law, Naval Research Logistics, Vol. 63, No. 3, pp. 247–259, 2016.
  • 9. J. Piao, S. Xu, Z. Wu, Y. Li, B. Qu, and X. Duan, Su-f-t-619: dose evaluation of specific patient plans based on monte carlo algorithm for a cyberknife stereotactic radiosurgery system, Medical Physics, Vol. 43, No. 6, pp. 3606–3606, 2016.
  • 10. S. Y. Kim, H. Park, H. M. Koo, and D. K. Ryoo, The Effects of the Port Logistics Industry on Port Citys Economy, Journal of Navigation and Port Research, Vol. 39, No. 3, pp. 267–275, 2015.
  • 11. J. Feng Jie, X. J. Liu Xiaojun, Design of Upright Intelligent Vehicle Based on Camera, Acta Electronica Malaysia, Vol. 1, No. 1, pp. 09–11, 2017.
  • 12. M. S. Ibrahim, S. Kasim, R. Hassan, H. Mahdin, A. A. Ramli, M. F. Md Fudzee, and M. A. Salamat, Information Technology Club Management System, Acta Electronica Malaysia, Vol. 2, No. 2, pp. 01–05, 2018.
  • 13. Z. G. He, X. N. Gu, X. Y. Sun, J. Liu, and B. S. Wang, An efficient pseudo-potential multiphase lattice Boltzmann simulation model for three-dimensional multiphase flows, Acta Mechanica Malaysia, Vol. 1, No. 1, pp. 08–10, 2017.
  • 14. M. Elmnifi, M. Amhamed, N. Abdelwanis, and O. Imrayed, Solar Supported Steam Production For Power Generation In Libya, Acta Mechanica Malaysia, Vol. 2, No. 2, pp. 05–09, 2018.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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