针对游轮公司预售票定价和开船后升舱方案,建立BP神经网络预测及灰色关联度模型,预测出每次航行各周预订舱位的人数.分析每航次每周预定的平均价格和每航次每周意愿预定人数的关联度,对每周的意愿人数进行合理地赋权,预测出每周预订的平均价格.建立需求定价模型,对售票价格合理定价.游轮起航后,在头等、二等舱位未满的情况下,建立游客升舱模型,使公司获得最大的预期销售收益.(To upgrade scheme cruise company advance ticket pricing and sail, establishment of BP neural network prediction and grey correlation degree model to predict each voyage number each week booking. Analysis of average price per voyage scheduled weekly and weekly will each voyage to a predetermined number of correlation, the number of weekly will reasonably predict empowerment. The average price per week reservation. Establish the demand pricing model, reasonable price of ticket pricing. Cruise after set sail in the first class, two class under the circumstances, the establishment of tourist upgrade model, enables the company to obtain the expected sales income maximum.)