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基于NARX神经网络模型的船舶市场预测研究 被引量:4

Ship Market Predicting Model Based on NARX Artificial Neural Network
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摘要 船舶市场的未来需求一直是船厂和船东关注的焦点。为使船舶制造企业能够积极面对未来市场的发展与变化,文章利用NARX自回归反馈网络对船舶市场进行短期预测。此法提高了对船舶市场预测的准确度及合理性,解决了目前由于经济环境复杂且资料有限而无法进行完全合理有效的预测的问题,以期对我国船舶市场的发展提供借鉴与参考。 Shipyards and ship owners have been always focusing their efforts on predicting future demand of ship market. To make the shipbuilding enterprises positively deal with the development and change of the future market, NARX nonlinear autoregressive neural network has been introduced and aimed at the prediction of ship market's short-tenn demand. This method has efficiently improved the accuracy and rationality of prediction. Furhermore, the problem of unable to make a reasonable, effective prediction completely due to the e, omplex economic environment and limited information has been solved properly. Thus, NARX nonlinear autoregressive neural network is of increasing importance in our national ship market and we are leading to discuss more details in this essay.
机构地区 上海海事大学
出处 《物流科技》 2012年第7期15-18,共4页 Logistics Sci-Tech
基金 上海市教委大学生创新活动计划项目 项目编号:CXS201103004 上海市教委科研创新项目 项目编号:12YZ117
关键词 船舶市场 NARX非线性自回归网络 预测模型 数据处理 ship market NARX nonlinear autoregressive neural network predicting model data processing
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  • 1张媛,秦勇,程晓卿,庞学苗,邢宗义.基于改进NARX神经网络的接触线表面不平顺与弓网接触力关联分析方法[J].中国铁道科学,2012,33(3):84-91. 被引量:7
  • 2余思勤,项一叶,刘振.基于神经网络的船舶市场风险预警研究[J].中国商贸,2012(34):92-93.
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