The combination of grey system and BP neural network

Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007

Volumn , Issue , 2007, Pages 1267-1271

  Fan, Shuhai ^a   Fang, Yexiang ^a   Li, Wenping ^a   Ma, Yungao ^a   Xiao, Tianyuan ^b  

^a NANJING TECH UNIVERSITY   (China)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

Grey system; Neural network; Quality control

Indexed keywords

COMPUTATION THEORY; NUMERICAL METHODS; PARALLEL PROCESSING SYSTEMS; PROBLEM SOLVING; QUALITY CONTROL;

CURRENT GREY THEORY; HYBRID METHODS; MASS CUSTOMIZATION;

NEURAL NETWORKS;

EID: 37049012666     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMA.2007.4303731     Document Type: Conference Paper

References (19)

1. DENG Julong, "The Control Problems of Grey Systems", Systems and control letters, (1982)
2. Lotfi Zadeh, "Fuzzy Sets", Journal of Information and Control, vol. 8, pp. 338-353, (1965)
3. LU HongHui. Exploring in Fusion Technology of Grey System, and Neural Networks. Microcomputer Development, 2000, (3):3-5
4. Dong, Tao; Li, Yin g; Hou, Liya Modeling of real-time monitoring and forecasting system about grinding temperature. Journal of Nanjing university of Science and Technology, Oct, 2000, 24(5):398-401
5. Chi, Sheng-Chai; Chen, Hung-Pin; Cheng, Chun-Hao. Forecasting approach, for stock index future using grey theory and neural networks. Proceedings of the International Joint Conference on Neural Networks, 1999, 6:3850-3855
6. Fan, Chunling; Jin, Zhihua; Tian, Weifeng, et al. Temperature drift modelling of fibre optic gyroscopes based on a grey radial basis function neural network. Measurement Science and Technology, January, 2004, 15(1):119-126
7. Hsu, Che-Chiang; Chen, Chia-Yon. Applications of improved grey prediction model for power demand forecasting. Energy Conversion and Management, August, 2003,44(14):2241-2249
8. Ma, Xin; Hou, Zhi-Jian; Jiang, Chuan-Wen, et al. Electricity forward price forecasting based on combined gray neural network model. Journal of Shanghai Jiaotong University, September, 2003, 37(9): 1329-1332
9. Bao Rong Chang, Shiou Fen Tsai. A grey-cumulative LMS hybrid predictor with neural network based weighting for forecasting nonperiodic short-term time series. IEEE International Conference on Systems, Man and Cybernetics, 2002, 12-16
10. Zhong L; YUAN L L; Xia H X, et al A study on gray neural network modeling.Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on, 2002, 2021-2023
11. Chen C M, Hong C M. A. weighted grey CMAC neural network with output differentiability. IFSA World Congress and 20th NAFIPS International Conference, 2001, 1009-1014
12. Hsu Y T, Jerome Yeh. Grey-neural, forecasting system. Proceedings of the Fifth International Symposium on Signal Processing and Its Applications, 1999, 139-142
13. Tseng, F M, Yu H C, Tzeng G H. Applied Hybrid Grey Model to Forecast Seasonal Time Series. Technological Forecasting and Social Change 67(2-3), June 7, 2001, 291-302
14. Lin, Chi-Yuan; Chen, Chin-Hsing. A genetic grey-based neural networks with wavelet transform for search of optimal codebook. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, March, 2003, E86-A(3):715-721
15. Fan Shu Hai. A Model of the expanded grey theory. IEEE ICNSC 2004, Taipei, March 21-23, 2004, p339-342.
16. Pine B J, Victor B, Boynton A C. Making Mass Customization Work. Harvard Business Review. 1993(10):108-118
17. Duray, Rebecca. Improving customer satisfaction throuth mass customization. Quality Progress 1999,8. v.32 no8
18. FAN S. Studies on the Application of Grey Genetic Algorithm, in Dynamic Network of MCMQA. Mechanical Science and Technology, 2006,8, 25(8):984-988
19. FAN S. E-factory based Agile-Maintenance Simulation-Platform. Journal of System Simulation, 2007, 5,19(5):1151-1153