Port Cargo Throughput Forecast Based on BP Neural Network
Chen Yi-yi · Computer and Modernization · 2009
Forecast of port throughput is very important for port construction and layout.This thesis introduces the theories of BP Neural Network into the field of cargo throughput forecast,and sets up a three-layer neural network model with the factor influencing the cargo throughput as the input artificial neuron,and the cargo throughput as the output artificial neuron.The model achieves promptly the accurate and satisfactory results in the Nanjing cargo throughput forecast.