Description: 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.
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游轮定价BP神经网络预测MATLAB程序及结果\BP代码.doc
游轮定价BP神经网络预测MATLAB程序及结果\第一问matlab代码.txt
游轮定价BP神经网络预测MATLAB程序及结果\第二问.zip
游轮定价BP神经网络预测MATLAB程序及结果\第四问.doc
游轮定价BP神经网络预测MATLAB程序及结果\第四问代码.txt
游轮定价BP神经网络预测MATLAB程序及结果
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