Please wait a minute...
Advanced Search
现代图书情报技术  2008, Vol. 24 Issue (5): 56-60     https://doi.org/10.11925/infotech.1003-3513.2008.05.10
  知识组织与知识管理 本期目录 | 过刊浏览 | 高级检索 |
基于知识的智能营销系统构建*
刘希宋 喻登科 李玥
(哈尔滨工程大学经济管理学院 哈尔滨 150001)
Construction of Knowledge-based Intelligent Marketing System
Liu Xisong  Yu Dengke  Li Yue
(School of Economics and Management, Harbin Engineering University, Harbin 150001,China)
全文: PDF (485 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 

在对国内外学者关于智能营销系统研究现状分析的基础上,提出基于知识的智能营销系统框架。系统框架包括数据库、知识库、模型库与用户界面4部分。分析数据库的内容与知识库中规则库与推理机的协同作用,并运用三层BP人工神经元网络模型构建系统的模型库,用于销售的预测分析。最后,演示系统的应用效果。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
刘希宋
李玥
喻登科
关键词  知识库智能营销系统人工神经元网络    
Abstract

Based on the current research situation analysis of intelligent marketing system of domestic and foreign scholars, framework of knowledge-based intelligent marketing system is put forward. System framework includes four parts which are database, knowledge base, model base and user interface. The contents of database and the synergistic effect of rule base and knowledge reasoning in knowledge base are analyzed, and sales are predicted through system’s model base established by three-layer artificial neural network on the BP algorithm. Finally, the application effect of system is demonstrated.

Key wordsKnowledge base    Intelligent     marketing system    Artificial neural network
收稿日期: 2008-01-08      出版日期: 2008-05-25
: 

G356.8

 
基金资助:

*本文系国防技术基础项目“国防工业科技成果转化的知识管理研究”(项目编号:C192007A001)的研究成果之一。

通讯作者: 喻登科     E-mail: ydk02093129.student@sina.com
作者简介: 刘希宋,喻登科,李玥
引用本文:   
刘希宋,喻登科,李玥. 基于知识的智能营销系统构建*[J]. 现代图书情报技术, 2008, 24(5): 56-60.
Liu Xisong,Yu Dengke,Li Yue. Construction of Knowledge-based Intelligent Marketing System. New Technology of Library and Information Service, 2008, 24(5): 56-60.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2008.05.10      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2008/V24/I5/56

[1] Zott C, Amit R, Donlevy J. Strategies for Value Creation in E-commerce Best Practice in Europe[J]. Eur. Manage. J, 2000,18(5): 463-475.
[2] Liang T P, Huang J S. A Framework for Applying Intelligent Agents to Support  Electronic Trading[J]. Decis. Support Syst, 2000(28): 305-317.
[3] Kong S C W, Li H, Hung T P L, et al.  Enabling Information Sharing Between E-commerce Systems for Construction Material Procurement[J]. Autom.Construct, 2004(13): 261-276.
[4] Matsatsinis N F, Doumpos M, Zopounidis C. Knowledge Acquisition and Representation for Expert Systems in the Field of Financial Analysis[J]. Exp.Syst.Appl, 1997,12(2): 247-262.
[5] Li S.The Development of a Hybrid Intelligent System for Developing Marketing Strategy[J]. Decis. Support Syst, 2000(27): 395-409.
[6] Park C S, Han  I. A Case-based Reasoning with the Feature Weights Derived by Analytic Hierarchy Process for Bankruptcy Prediction[J]. Exp. Syst. Appl, 2002(23): 255-264.
[7] Fish K E, Barnes J H, Aiken M W. Artificial Neural Networks: A New Methodology for Industrial Markets Egmentation[J]. Ind.Market.Manage, 1995(24): 431-438.
[8] Srinivasan D. Evolving Artificial Neural Networks for Short-term-load Forecasting[J]. Neuro computing, 1998(23): 265-276.
[9] Turb E, Aronson J E. Decision Support Systems and Intelligent Systems[M]. Prentice Hall,  2001.
[10] Vellido A, Lisboa P J G, Vaughan J. Neural Networks in Business: A Survey of Applications[J]. Exp. Syst. Appl, 1999(17): 51-70.
[11] Vishwakarma K P. A Neural Network to Predict Multiple Economic Time Series[C]. Proceedings of the IEEE international Conference on NeuralNetworks, 1995(6): 3670-3674.
[12] Kuo  R J, Xue K C. A Decision Support System for Sales Forecasting Through Fuzzy Neural Networks with Asymmetric Fuzzy Weights[J]. Decis. SupportSyst, 1998(24): 105-126.
[13] Srinivasan D, Liew A C, Chang C S. A Neural Network Short-term Load Forecaster[J]. Electr. Power Syst. Res, 1994(28): 227-234.
[14] Zhang G, Patuwo B E, Hu M Y. Forecasting with Artificial Neural Networks: The State of the Art[J]. Int. J. Forecasting, 1998(14): 35-62.
[15] Al-Saba T, El-Amin I. Artificial Networks as Applied to Long-term Demand Forecasting[J]. Artif. Intell. Engineer, 1999: 189-197.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 2015 《数据分析与知识发现》编辑部
地址:北京市海淀区中关村北四环西路33号 邮编:100190
电话/传真:(010)82626611-6626,82624938
E-mail:jishu@mail.las.ac.cn