【摘要】 通过分析NBA球队门票收入与技术统计间的相关关系,获得与门票收入密切相关的技术统计指标,认为增强球队进攻能力将提高球队门票收入。在此基础上,将主成分分析法与神经网络相结合,建立起基于主成分神经网络的门票收入与技术统计的关系模型,在不需要事先确定关系模型的数学表达形式的前提下,客观、准确地映射出门票收入和技术统计之间的函数关系,从而为篮球俱乐部的成功运营提供指导。更多还原

【Abstract】 By anglicizing the relationship between NBA teams’ ticket sales and technical statistical data,technical statistical indexes closely related to the ticket sales were obtained. It was believed that the buildup of the team’s attack ability could improve its ticket sales. According to these results,the relationship model between ticket sales and technical statistical data based on the principal component neural network was proposed in combination with principal component analysis and neural network,which could accurately reflect the function relationship between ticket sales and technical statistical data without and prior knowledge of relationship model,thus providing theory guidance for the successful operation of basketball clubs.更多还原