Financial production marketing prediction based on optimization GA-BP neural network

Xin JIN; Yi-an PAN; Jing WU

doi:10.3969/j.issn.1000-436x.2014.z2.004

您当前的位置：

首页 >

文章列表页 >

Financial production marketing prediction based on optimization GA-BP neural network

Papers | 更新时间：2024-06-05

- Financial production marketing prediction based on optimization GA-BP neural network
- Journal on Communications Vol. 35, Issue Z2, Pages: 20-25(2014)
- 作者机构：
  
  中央财经大学信息学院，北京 100081
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(61273293)
- DOI：10.3969/j.issn.1000-436x.2014.z2.004
  CLC： TP312
- Online First：2014-11，
  
  Published：30 November 2014
- 稿件说明：
移动端阅览
Xin JIN, Yi-an PAN, Jing WU. Financial production marketing prediction based on optimization GA-BP neural network[J]. Journal on Communications, 2014, 35(Z2): 20-25.
DOI：

Xin JIN, Yi-an PAN, Jing WU. Financial production marketing prediction based on optimization GA-BP neural network[J]. Journal on Communications, 2014, 35(Z2): 20-25. DOI： 10.3969/j.issn.1000-436x.2014.z2.004.

摘要

摘要：传统 BP 神经网络存在着网络结构参数确定过于依赖经验、易于陷入局部解等缺陷，为了改进 BP 神经网络模型的应用缺陷，提出优化GA-BP算法，通过GA算法优化BP神经网络拓扑结构和网络参数初始值的选取过程，并且为了验证模型的可行性，以某银行短期理财产品营销的客户历史数据作为实证研究对象，并通过与BP 神经网络模型的对比实验，验证该模型可以更精确地预测银行理财产品的客户营销结果。实验结果表明将该模型用于对金融产品营销数据的仿真计算，可以更精确地预测未来营销结果。

Abstract

The traditional BP neural network has some application problems.For example

the network structure parameter is too dependent on experience and easy to fall into local solution.In order to improve the application defects of BP neural network model

the optimization GA-BP algorithm to optimize BP neural network topology and the selection process of network initial parameter value is proposed.In order to verify the feasibility of the model

marketing customer historical data of a bank short-term financial products as the research object is used to validate the model which could more accurately predict the customer compared with BP neural network model.The test results show that the model could be applied to analysis financial product marketing data and more accurately predict the future marketing results.

关键词

Keywords

references

董槐林 , 郭阳 , 郑宇辉 . 基于 PSO-BP 神经网络的企业信用风险评估模型研究 [J ] . 计算机与现代化 , 2009 , 4 ( 4 ): 123 - 126 .

DONG K L , GUO Y , ZHENG Y H . Research on evaluation model of enterprise credit risk based on PSO-BP neural networks [J ] . Modern Computer , 2009 , 4 ( 4 ): 123 - 126 .

HEBB D O . The Organization of Behavior:A Neuropsychological Approach [M ] . John Wiley ＆ Sons , 1949 .

MCCLELLAND J L , RUMELHART D E . Parallel distributed processing [J ] . Psychological and biological models , 1987 , 2 : 76 - 82 .

WIDROW B , HOFF M E . Adapting switching circuits [A ] . IRE WESCON Conv Record [C ] . 1960 . 96 - 104 .

李红 , 杨剑锋 . 基于改进的 BP 神经网络模型参考自适应控制 [J ] . 兰州交通大学学报 , 2011 , 30 ( 1 ): 37 - 41 .

LI H , YANG J F . Reference adaptive control based on improved BP neural network [J ] . Journal of Lanzhou Jiaotong University , 2011 , 30 ( 1 ): 37 - 41 .

张卫东 , 韩云昊 , 米阳 . 基于 GA-BP 模糊神经网络的商业银行信用风险评估 [J ] . 工业工程与管理 , 2006 , 5 : 80 - 84 .

ZHANG W D , HAN Y H , MI Y . A study on credit risk assessment of commercial banks based on GA BP fuzzy neural network [J ] . Industrial Engineering and Management , 2006 , 5 : 80 - 84 .

席道瑛 , 张涛 . BP 网络的改进及模拟退火神经网络在地学中应用 [J ] . 物探化探计算技术 , 1996 , 18 ( 3 ): 219 - 224 .

XI D Y , ZHANG T . Application of improved BP neural network and simulatedannealing neural network in Earth Science [J ] . Computing Techniques for Geophysical and Geochemical Exploration , 1996 , 18 ( 3 ): 219 - 224 .

苏晨 , 李成义 . 基于遗传算法和 BP 神经网络的服装销售预测 [J ] . 经营与管理 , 2012 , 2 : 145 - 158 .

SU C , LI C Y . Garment sales prediction of based on genetic algorithm and BP neural network [J ] . Operation and Management , 2012 , 2 : 145 - 158 .

TAN P N , MICHAEL S , VIPIN K . Introduction to Data Mining [M ] . Beijing : Machine Industry PressPress , 2010 : 246 - 255 .

HAN J , KAMBER M , PEI J . Data Mining:Concepts and Techniques [M ] . Morgan Kaufmann , 2006 .

傅荟璇 , 赵红等 . MATLAB 神经网络应用设计 [M ] . 机械工业出版社 , 2010 .

FU H X , ZHAO H , et al . Neural network application design based on MATLAB [M ] . Beijing : Machine Industry PressPress , 2010 .

HECTOR C . Practical data analysis [M ] . Beijing : Machine Industry PressPress , 2014 .

Views

890

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimization method for attribute-based cryptographic access control in mobile cloud computing

Coverage optimization algorithm based on VF-CS in mobile sensor network

Optimization of regional coverage satellite constellations based on ant colony algorithm

Coverage quality measuring and optimization for moving target in sensor networks

Preprocessing optimization algorithm based on partial channel information feedback in wideband OFDM systems

Related Author

Jian LIU

Ming XIAN

Huimei WANG

Hong RONG

Guanghui LI

Shihong HU

WEI Jiao-long

CEN Zhao-hui

Related Institution

College of Electronic Science, National University of Defense Technology

School of Computer Technology,Jiangnan University

Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

Research Center of IoT Technology Application Engineering (MOE)

Department of Electronics and Information Engineering,Huazhong University of Science and Technology

AI问答

⁰