| 基于遗传算法和BP神经网络的多维客户行为细分模型的研究 |
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| 引用本文： | 王光辉,张晓光,赵艳芹.基于遗传算法和BP神经网络的多维客户行为细分模型的研究[J].齐齐哈尔大学学报(自然科学版),2014(4):37-39. |
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| 作者姓名： | 王光辉 张晓光 赵艳芹 |
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| 作者单位： | [1]黑龙江科技大学计算机与信息工程学院,哈尔滨150022 [2]黑龙江科技大学理学院,哈尔滨150022 |
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| 基金项目： | 黑龙江省教育厅科学技术研究资助项目（12541728）;黑龙江省教育厅科学技术研究资助项目（12541718）;黑龙江省自然科学基金资助项目（F201436） |
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| 摘 要： | 根据BP神经网络强处理非线性问题和遗传算法具有全局寻优的特点,总结出用遗传算法优化BP神经网络的初始权值和阈值,建立了基于遗传算法和BP神经网络的多维客户行为细分模型,对客户进行细分,挖掘出潜力客户,有效降低营销成本。最后,利用Matlab对多组数据进行测试,并与纯BP算法进行分析比较,结果表明该方法是有效可行的。
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| 关 键 词： | 遗传算法 BP神经网络 移动增值业务 行为细分 |
Research and implementation of multidimensional customer behavior segmentation model based on genetic algorithm and BP neural network |
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| WANG Guang-hui,ZHANG Xiao-guang,ZHAO Yan-qin.Research and implementation of multidimensional customer behavior segmentation model based on genetic algorithm and BP neural network[J].Journal of Qiqihar University(Natural Science Edition),2014(4):37-39. |
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| Authors: | WANG Guang-hui ZHANG Xiao-guang ZHAO Yan-qin |
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| Institution: | 1. Heilongjiang University of Science and Technology, Computer and Information Engineering College, Harbin 150022, China 2. Heilongjiang University of Science and Technology, College of science, Harbin 150022, China ) |
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| Abstract: | To take advantage of the BP neural networks＇s strong to deal with nonlinear problem and the genetic algorithm＇s globe optimal searching, summarize the initialized weights and threshold of BP neural network was optimized with GA, established multidimensional customer behavior segmentation model, subdividing the customer, dig up the potential customers, effectively reduce the cost of marketing. Finally, multi-group data were used to test by matlab, compared to BP algorithm, the results show that GA-BP is an effective method. |
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| Keywords: | genetic algorithm BP neural network mobile value-added services behavior segmentation |
| 本文献已被 CNKI 维普 等数据库收录！ |
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