An artificial intelligence approach to calculate the capacity of bulk cargo terminal

In this paper, we introduced an artificial intelligence approach to analyze and calculate the capacity of bulk cargo terminal. It included two parts, the artificial neural network model and the genetic algorithm model. The artificial neural network model was used to analyze the weights between throughput of bulk cargo terminal and impact elements in bulk cargo terminal, and the genetic algorithm model was used to calculate the capacity of bulk cargo terminal. The data for this paper was gained from the authority of a coal terminal in China. An artificial neural network model with 9 input neurons and 1 output neuron was built and to analyze the operation of the coal terminal. According to analysis and calculation, the artificial neural network model was valid, because all errors between the outputs of the artificial neural network model and the outputs in real were less than 0.4%. A genetic algorithm model was designed to calculate the capacity of this coal terminal, which was 8559684.216121702 tons/month.