摘要
本文通过建立智能化BP神经网络模型,创立“5P”营销组合模式,包含产品、价格、促销,政治力量和公共关系因素。结合引入的区间调查实验数据,通过设定激励函数、能量误差函数和对应的数学运算,结合微分链式求导法则分析不同特征量的权重及依赖关系,计算分析得到组合内各模块对市场的主导因素权重,为企业资金流向、营销决策提供参考,促使企业经济效益的提高。
This paper establishes a“5P”marketing mix model by establishing an intelligent BP neural network model,including product,price,promotion,political power and public relations factors.Combined with the introduced interval survey experimental data,by setting the incentive function,energy error function and corresponding mathematical operations,combined with the differential chain derivation rule,the weight and dependence of different characteristic quantities are analyzed,and the calculation and analysis of each module in the combination on the market The weight of the dominant factors provides a reference for the company's capital flow and marketing decisions,and promotes the improvement of the company's economic benefits.
作者
王贺阳
王然
王梦迪
蔡立颖
WANG He-yang;WANG Ran;WANG Meng-di;CAI Li-ying(School of Foreign Language,Liaoning Technical University,Liaoning Fuxin 123000,China;School of Electrical and Control Engineering,Liaoning Technical University,Liaoning Huludao 125000,China;School of Marketing Management,Liaoning Technical University,Liaoning Huludao 125000,China)
出处
《新一代信息技术》
2020年第9期28-32,共5页
New Generation of Information Technology
作者简介
王贺阳(1999-),男,主要研究方向:电气工程及自动化,系统优化与决策,信息网络设计与规划研究;王然(1998-),女,主要研究方向:电气工程;王梦迪(2000-),女,主要研究方向:市场营销,管理决策;通讯作者:蔡立颖(1978-),女,硕士,副教授,主要研究方向:应用语言学。
