摘要
运用BP人工神经网络建立了深圳港集装箱吞吐量的预测模型 ,得出深圳港 2 0 0 1～ 2 0 0 5年的集装箱吞吐量 .研究结果表明 ,该预测方法具有很强的学习与泛化能力 ,预测结果对深圳港的发展有较强的借鉴作用 ,可以提高深圳港处理运量的能力 .
A model for predicting container throughput is developed for the Shenzhen Port based on BP neural network, and the throughputs of the Shenzhen Port from 2001 to 2005 are calculated. It is indicated that BP neural network has a strong ability to study and generalize, and that the predicted result can be used as a reference for the development of the Shenzhen Port, and may help improve throughput calculation for the Shenzhen Port.
出处
《河海大学学报（自然科学版）》
CAS
CSCD
北大核心
2002年第4期41-44,共4页
Journal of Hohai University(Natural Sciences)
关键词
BP神经网络模型
深圳港
集装箱
吞吐量
预测
BP neural network model
Shenzhen Port
container throughput
prediction
