An improved grey dynamic GM(2, 1) model

References

• Aaron , M. R. 1956 . The use of least squares in system design . IRE Trans. Circuit Theory , 4 ( 3 ) : 224 – 231 .
   Google Scholar
• Cao , J. and Hu , W. Y. 1993 . “ Grey System Theory and Methods ” . 9 – 10 . Jilin : China Forestry University Publisher .
   Google Scholar
• Dang , Y. G. , Liu , S. F. and Chen , K. J. 2004 . The GM models that x(n) be taken as initial value, Kybernetes , 33 ( 2 ) : 247 – 254 .
   Google Scholar
• Deng , J. L. 1982 . Control problems of grey system . Syst. Control Lett , 1 ( 5 ) : 288 – 294 .
   Web of Science ®Google Scholar
• Deng , J. L. 1985 . “ Grey System Control ” . Wuhan, , China : Huazhong University of Science and Technology Publisher .
   Google Scholar
• Guo , R. and Love , E. 2005 . Fuzzy set-valued and grey filtering statistical inferences on a system operation data . J. Qual. Maint , 11 ( 3 ) : 267 – 278 .
   Google Scholar
• Li , G. D. , Yamguchi , D. and Nagai , M. 2005 . New proposals for GM according to Laplace transform . 35 : 1 – 8 . IPSJ SIG Technical Report
   Google Scholar
• Li , G. D. , Yamguchi , D. and Nagai , M. 2005 . New Methods and Accuracy Improvement of GM According to Laplace Transform . J. Grey Syst , 1 ( 8 ) : 13 – 25 .
   Google Scholar
• Li , G. D. , Yamguchi , D. and Nagai , M. 2006 . “ Non-equidistance grey model based on grey interval weighting accumulated generating operation ” . 818 – 824 . Las Vegas : Technologies Applications . Proc. Int Conf on Machine Learning, Models
   Google Scholar
• Li , G. D. , Yamguchi , D. and Nagai , M. Application of improved grey prediction model to short term load forecasting . Proc. Int Conf on Electrical Engineering . South Korea. pp. 1 – 6 . MS01
   Google Scholar
• Li , G. D. , Yamaguchi , D. , Lin , H. S. and Nagai , M. The simulation modeling about the developments of GDP, population and primary energy consumption in China based on MATLAB . Proc. IEEE Int Conf on Cybernetics, Intelligent Systems . Bangkok. pp. 499 – 504 .
   Google Scholar
• Li , G. D. , Yamguchi , D. , Mizutani , K. and Nagai , M. 2004 . New proposal and evaluation based on grey theory GM . 93 : 177 – 184 . IPSJ SIG Technical of Report
   Google Scholar
• Machida , T. and Kojima , N. 1989 . “ Fortran Application Numerical Calculation ” . 231 – 262 . Tokai University Publisher .
   Google Scholar
• Nagai , M. and Yamaguchi , D. 2004 . “ Grey Theory and Engineering Application Method ” . Tokyo, , Japan : Kyoritsu Publisher .
   Google Scholar
• Sun , J. X. 1982 . “ Spline Function and Graphic Calculation ” . 42 – 82 . China : Science and Technol. Publisher .
   Google Scholar
• Wang , X. M. 2003 . “ Grey System Method Simple Course ” . 62 – 87 . Chengdu : Chengdu Capital Science Technical University Publisher .
   Google Scholar
• Wang , Z. and He , Y. 1990 . The difficulty and resolving of grey system theory model construction . J. Syst. Eng. Theory Pract , 1 ( 5 ) : 17 – 20 .
   Google Scholar
• Wang , X. M. and Luo , J. J. 1986 . “ Grey System Prediction Decision Making Model Construction Program Collection ” . Shanghai, , China : Science Publisher .
   Google Scholar
• Xia , J. 2000 . “ Grey System Theory to Hydrology ” . Wuhan, , China : Huazhong University of Science and Technology Press .
   Google Scholar
• Yu , D. J. 1991 . A discussion about modeling of grey systems . J. Syst. Eng , 5 ( 9 ) : 9 – 12 .
   Google Scholar
• Zhong , Y. B. and Luo , C. Z. 1991 . Revised plans for the grey systems modeling . J. Syst. Eng , 6 ( 9 ) : 13 – 17 .
   Google Scholar