Qualitative Simulation of Teachers Group Behaviors Based on BP Neural Network

被引：1
|
作者：
Liu, Tianyin [1 ]
Hu, Bin [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Hubei, Peoples R China
来源：
COMPUTATIONAL INTELLIGENCE AND INTELLIGENT SYSTEMS | 2009年 / 51卷
关键词：
qualitative simulation; group behavior; neural network; QSIM;
D O I：
10.1007/978-3-642-04962-0_44
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper discusses the development of the conceptual model of oscillation-equilibrium qualitative simulation (OEQS) for teachers group behaviors and the integration of the approaches of QSIM and Qualitative Reasoning Teachers group behaviors oscillate between social field gravitation and cost gravitation, and regress gradually to reach an equilibrium. MATLAB 7.0 is used to code BP neural network for describing the two gravitations. Based or the model of OEQS, qualitative simulation engine drives the runs of description method, transition rules and filter theory. Visual Basic 2005 is used to code interval transition rule and graphics of group behaviors. Also, the paper illustrates the application to teachers group management. Simulation results show that OEQS model can serve as a virtual experiment tool for decision making in university management.
引用
收藏
页码：387 / 397
页数：11
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