论文信息 - Application of Logistic Model in Container Throughput Prediction

Application of Logistic Model in Container Throughput Prediction

Logistic growth model is important for studying the increasing laws in limited space. In this paper, the container throughput of Wuhan xingang has been studied by using logistic model. Compared with the actual throughput, container throughput prediction using logistic growth model is in accordance with the real situation on the whole.

[1] Wu Liang-hai. Prediction of Petroleum Demand Based on SVM Optimized by PSO , 2010 .

[2] Zaid Mohamed,et al. A variable asymptote logistic (VAL) model to forecast electricity consumption , 2005, Int. J. Comput. Appl. Technol..

[3] T. Nakayama,et al. Ordinary Differential Equations , 2009 .

[4] Feng Pan,et al. Analysis of Standard Particle Swarm Optimization Algorithm Based on Markov Chain , 2013 .

[5] Hao Lu,et al. Pattern Search Method and Artificial Neural Network Prediction of Double Ellipsoid Heat Source of Submerged Arc Welding , 2011 .

[6] N. G. Parke,et al. Ordinary Differential Equations. , 1958 .

[7] Feng Pan,et al. Analysis of Standard Particle Swarm Optimization Algorithm Based on Markov Chain: Analysis of Standard Particle Swarm Optimization Algorithm Based on Markov Chain , 2014 .