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

页码：387 / 397

页数：11

共 50 条

[31] PREDICTION AND SIMULATION OF INDOOR MILLIMETER WAVE PROPAGATION CHARACTERISTICS BASED ON BP NEURAL NETWORK
Sun, Zeng-You
Li, Huan-Huan
JOURNAL OF INVESTIGATIVE MEDICINE, 2014, 62 (08) : S80 - S80
[32] The ACA-BP Algorithm Based Controller of PID Neural Network and Its simulation
Ding, Fang
Huang, Dongjian
MEASUREMENT TECHNOLOGY AND ITS APPLICATION, PTS 1 AND 2, 2013, 239-240 : 1377 - 1381
[33] Simulation of Temperature Distribution During Ceramic Sintering Based on BP Neural Network Technology
Liu, L. P.
Lin, B.
Chen, S. H.
Zhang, X. F.
CHINESE CERAMICS COMMUNICATIONS, 2010, 105-106 : 823 - 826
[34] Study of detection technique simulation of high resolution radar based on BP neural network
Xuan, Hou
Mingyi, He
ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 1, PROCEEDINGS, 2007, : 426 - +
[35] Simulation of temperature compensation of pressure sensor based on PCA and improved BP neural network
Li, Teng
Yang, Shiliang
Pan, Hongliang
ADVANCES IN MECHATRONICS, AUTOMATION AND APPLIED INFORMATION TECHNOLOGIES, PTS 1 AND 2, 2014, 846-847 : 513 - 516
[36] Modeling and simulation of teaching quality in colleges based on BP neural network and training function
Liang Wenwen
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 37 (05) : 6349 - 6361
[37] MPG prediction based on BP neural network
Meng, Jun
Liu, Xiangyin
ICIEA 2006: 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, PROCEEDINGS, 2006, : 143 - 145
[38] MPG Prediction based on BP Neural Network
Meng, Jun
Liu, Xiangyin
2006 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, 2006, : 1365 - +
[39] BP neural network based population forecast
Bi, Xiaolong
Yuan, Yong
Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering), 2007, 31 (03): : 556 - 558
[40] A Parallel BP Neural Network Based on the FPGA
Guo Yu-Hui
Zhou De-Tai
Qian Xiang-Ping
Zeng Xian-Qiang
MEASUREMENT TECHNOLOGY AND ITS APPLICATION, PTS 1 AND 2, 2013, 239-240 : 1541 - +

← 1 2 3 4 5 →