References
- 1. Bao-chun, L., Da-qi, Z.: Analysis of Safety Measures for the Entry of Large Deep Draught Ships Under the Same Tide. China Water Transport, 2016, 9(1), Pp. 34-35.
- 2. Jin-zhong, Z., Song-shan, Y.: Analysis of Design Water Level for Huanghua Port 200 000 DWT Channel. Port Engineering Technology, 2016, 53(6), Pp.14-16.
- 3. Ning, Z., Tie-zheng, S.: Analysis of Method of Calculating the Depth of Waterway by Segmented Artificial Long Channel. China Water Transport, 2017, 17(7), Pp.190-194.
- 4. Cun-bao, T., Liang, Z., Jing-xian, L.: Water Depth Investigation for Dongjiakou Port Receiving 400 000t Carrier by Tide. Navigation of China, 2017, 40 (2), Pp. 60-64.
- 5. Zhi-yang, H., Yuan, X.: Research and application of a new method for the calculation of ridable high tide level. The Ocean Engineering, 2017, 35(2), 2017, Pp. 83-88.
- 6. Yuan, X., Zhi-yang, H., Hong-feng, G.: On riding high tide level in a long waterway at a tidal estuary. Port & Waterway Engineering, 2011, 6(5), Pp.1-6.
- 7. Zhi-yang, H., Jian-feng, Z.: Research and application of ridable tide level considering the effect of tide current. The Ocean Engineering, 2018, 36(3), Pp.104-109.
- 8. Feng, M., Hong-bo, C.: An analysis for entering a port considering tide based on high-precise instantaneous depth model. Science of Surveying and Mapping, 2012, 37(4), Pp.40-42.
- 9. Ning, M., Yan, C., Jun, W.: Design throughput capacity simulation for multi-shallow waterway. Journal of Dalian Maritime University, 2011, 37(1), Pp. 63-67.
- 10. Qing-long, H., Zu-xu, G., Peng-fei, Z.: Research on the Under-Keel Clearance and Ship Squat for VLCC Navigating within Port Area. Marine Technology, 2013, 17(5), Pp.2-5
- 11. Yi, L., Yang, Y.: A Tidal Forecasting Algorithm Based on Genetic Neural Network. Electric Power Science and Engineering, 2015, 31(8), Pp.1-7
- 12. Ze, G., Zhi-gang, L., Yan, Z.: Tide Prediction in Tidal Power Generation by Harmonic Analysis and Artificial Neural Network. Journal of Hebei United University (Natural Science Edition), 2014, 36(1), Pp. 84-87.
- 13. Ru-yun, W., Lei, L., Fei, Z.: Neural network forecast model of storm surge elevation based on high tide and low tide. Marine Forecasts, 2014, 31(6), Pp. 23-27.
- 14. Ming-chang, L., Shu-xiu, L., Zhao-chen, S.: Research on tide supplemental prediction using ANN methods under unusual weather. Chinese Journal of Computational Mechanics, 2008, 25(3), Pp. 368-372.
- 15. Salim, A.M., Dwarakish, G.S., Liju, K.V.: Weekly Prediction of Tides Using Neural Networks. Procedia Engineering, 2015, 116(1), Pp.678-682.
- 16. Lee, T.L.: Back-propagation neural network for longterm tidal predictions. Ocean Engineering, 2004, 31(2), Pp. 225-238.
- 17. Alessandro, F., Torres, R., Kjerfve, A.: Application of Artificial Neural Network (ANN) to improve forecasting of sea level. Ocean and Coastal Management, 2012, 55, Pp.101-110.
- 18. He, Z.G., Gu, X.A., Sun, X.Y., Liu, J., Wang, B.S.: A coupled immersed boundary method for simulating multiphase flows. Acta Electronica Malaysia, 2017, 1(1), Pp. 05-08.
- 19. Ibrahim, M.S., Kasim, S., Hassan, R., Mahdin, H., Ramli, A.A., Md Fudzee, M.F., Salamat, M.A.: Information Technology Club Management System. Acta Electronica Malaysia, 2018, 2(2), Pp. 01-05.
- 20. He, Z.G., Gu, X.N., Sun, X.Y., Liu, J., Wang, B.S.: An efficient pseudo-potential multiphase lattice Boltzmann simulation model for three-dimensional multiphase flows. Acta Mechanica Malaysia, 2017, 1(1), Pp. 08-10.
- 21. Luo, X.: Research on Anti-Overturning Perfomance Of Multi-Span Curved Girder Bridge with Small Radius. Acta Mechanica Malaysia, 2(1), Pp. 04-07.
- 22. Halim, H., Abdullah, R., Mohd Nor, M.J., Abdul Aziz, H., Abd Rahman, N.: Comparison Between Measured Traffic Noise in Klang Valley, Malaysia And Existing Prediction Models. Engineering Heritage Journal, 2017, 1(2), Pp. 10-14.
- 23. Hassan, M.A., Mohd Ismail, M.A.: Literature Review for The Development of Dikes’s Breach Channel Mechanism Caused by Erosion Processes During Overtopping Failure. Engineering Heritage Journal, 2017, 1(2), Pp. 23-30.