|
|
Construction of Knowledge-based Intelligent Marketing System |
Liu Xisong Yu Dengke Li Yue |
(School of Economics and Management, Harbin Engineering University, Harbin 150001,China) |
|
|
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.
|
Received: 08 January 2008
Published: 25 May 2008
|
|
Corresponding Authors:
Yu Dengke
E-mail: ydk02093129.student@sina.com
|
About author:: Liu Xisong,Yu Dengke,Li Yue |
[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. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|