메뉴 건너뛰기




Volumn 25, Issue 5, 2014, Pages 1215-1221

Non-homogenous discrete grey model with fractional-order accumulation

Author keywords

Discrete grey model; Fractional order accumulation; Fuel production forecasting; Grey system theory; The subway passengers forecasting

Indexed keywords

FORECASTING;

EID: 84907710889     PISSN: 09410643     EISSN: 14333058     Source Type: Journal    
DOI: 10.1007/s00521-014-1605-1     Document Type: Article
Times cited : (120)

References (26)
  • 1
    • 84887930979 scopus 로고    scopus 로고
    • Advances in grey systems research
    • Sifeng L, Forrest J, Yang Y (2013) Advances in grey systems research. J Grey Syst 25(2):1–18
    • (2013) J Grey Syst , vol.25 , Issue.2 , pp. 1-18
    • Sifeng, L.1    Forrest, J.2    Yang, Y.3
  • 2
    • 84868201778 scopus 로고    scopus 로고
    • Grey theory analysis of online population and online game industry revenue in taiwan
    • Chang T-S, Cheng-Yuan K, Hsin-Pin F (2013) Grey theory analysis of online population and online game industry revenue in taiwan. Technol Forecast Soc Change 80:175–185
    • (2013) Technol Forecast Soc Change , vol.80 , pp. 175-185
    • Chang, T.-S.1    Cheng-Yuan, K.2    Hsin-Pin, F.3
  • 3
    • 33745210168 scopus 로고    scopus 로고
    • A hybrid approach of neural networks and grey modeling for adaptive electricity load forecasting
    • Chiang CC, Ho MC, Chen JA (2006) A hybrid approach of neural networks and grey modeling for adaptive electricity load forecasting. Neural Comput Appl 15(3–4):328–338
    • (2006) Neural Comput Appl , vol.15 , Issue.3-4 , pp. 328-338
    • Chiang, C.C.1    Ho, M.C.2    Chen, J.A.3
  • 4
    • 77949270763 scopus 로고    scopus 로고
    • A new reliability prediction model in manufacturing systems
    • Li G-D, Masuda S, Yamaguchi D et al. (2010) A new reliability prediction model in manufacturing systems. IEEE Trans Reliab 59(1):170–177
    • (2010) IEEE Trans Reliab , vol.59 , Issue.1 , pp. 170-177
    • Li, G.-D.1    Masuda, S.2    Yamaguchi, D.3
  • 5
    • 70350350037 scopus 로고    scopus 로고
    • Forecasting classification of operating performance of enterprises by zscore combining anfis and genetic algorithm
    • Wen-Tsao P (2009) Forecasting classification of operating performance of enterprises by zscore combining anfis and genetic algorithm. Neural Comput Appl 18(8):1005–1011
    • (2009) Neural Comput Appl , vol.18 , Issue.8 , pp. 1005-1011
    • Wen-Tsao, P.1
  • 6
    • 84891844765 scopus 로고    scopus 로고
    • Ensemble of extreme learning machine for landslide displacement prediction based on time series analysis
    • Lian C, Zeng Z, Yao W et al (2014) Ensemble of extreme learning machine for landslide displacement prediction based on time series analysis. Neural Comput Appl 24(1):99–107
    • (2014) Neural Comput Appl , vol.24 , Issue.1 , pp. 99-107
    • Lian, C.1    Zeng, Z.2    Yao, W.3
  • 7
    • 79953697666 scopus 로고    scopus 로고
    • Single-step ahead prediction based on the principle of concatenation using grey predictors
    • Kayacan E, Kaynak O (2011) Single-step ahead prediction based on the principle of concatenation using grey predictors. Expert Syst Appl 38(8):9499–9505
    • (2011) Expert Syst Appl , vol.38 , Issue.8 , pp. 9499-9505
    • Kayacan, E.1    Kaynak, O.2
  • 8
    • 77955470797 scopus 로고    scopus 로고
    • Gray-fuzzy control of a nonlinear two-mass system
    • Erenturk K (2010) Gray-fuzzy control of a nonlinear two-mass system. J Frankl Inst 347:1171–1185
    • (2010) J Frankl Inst , vol.347 , pp. 1171-1185
    • Erenturk, K.1
  • 9
    • 79953714845 scopus 로고    scopus 로고
    • Fire detection model in tibet based on grey-fuzzy neural network algorithm
    • Wang Y, Chunyu Y, Ran T et al. (2011) Fire detection model in tibet based on grey-fuzzy neural network algorithm. Expert Syst Appl 38(8):9580–9586
    • (2011) Expert Syst Appl , vol.38 , Issue.8 , pp. 9580-9586
    • Wang, Y.1    Chunyu, Y.2    Ran, T.3
  • 10
    • 84871109296 scopus 로고    scopus 로고
    • A computationally efficient two-stage method for short-term traffic prediction on urban roads
    • Guo F, Krishnan R, Polak J (2013) A computationally efficient two-stage method for short-term traffic prediction on urban roads. Transp Plan Technol 36(1):62–75
    • (2013) Transp Plan Technol , vol.36 , Issue.1 , pp. 62-75
    • Guo, F.1    Krishnan, R.2    Polak, J.3
  • 12
    • 84872598238 scopus 로고    scopus 로고
    • On novel grey forecasting model based on non-homogeneous index sequence
    • Naiming X, Sifeng L, Yingjie Y et al (2013) On novel grey forecasting model based on non-homogeneous index sequence. Appl Math Model 37:5059–5068
    • (2013) Appl Math Model , vol.37 , pp. 5059-5068
    • Naiming, X.1    Sifeng, L.2    Yingjie, Y.3
  • 13
    • 84867723955 scopus 로고    scopus 로고
    • Using multi-stage data mining technique to build forecast model for taiwan stocks
    • Chien-Jen H, Peng-Wen C, Wen-Tsao P (2012) Using multi-stage data mining technique to build forecast model for taiwan stocks. Neural Comput Appl 21(8):2057–2063
    • (2012) Neural Comput Appl , vol.21 , Issue.8 , pp. 2057-2063
    • Chien-Jen, H.1    Peng-Wen, C.2    Wen-Tsao, P.3
  • 14
    • 84875375277 scopus 로고    scopus 로고
    • The effect of sample size on the grey system model
    • Lifeng W, Sifeng L, Ligen Y et al (2013) The effect of sample size on the grey system model. Appl Math Model 37(9):6577–6583
    • (2013) Appl Math Model , vol.37 , Issue.9 , pp. 6577-6583
    • Lifeng, W.1    Sifeng, L.2    Ligen, Y.3
  • 15
    • 1842561386 scopus 로고    scopus 로고
    • The gm models that be taken as initial value
    • Yaoguo D, Sifeng L, Kejie C (2004) The gm models that be taken as initial value. Kybernetes 33(2):247–254
    • (2004) Kybernetes , vol.33 , Issue.2 , pp. 247-254
    • Yaoguo, D.1    Sifeng, L.2    Kejie, C.3
  • 16
    • 78751621928 scopus 로고    scopus 로고
    • Non-equidistant step by step optimum new information gm(1,1) and its application
    • Youxiang L (2010) Non-equidistant step by step optimum new information gm(1,1) and its application. Syst Eng Theory Pract 30(12):2254–2258
    • (2010) Syst Eng Theory Pract , vol.30 , Issue.12 , pp. 2254-2258
    • Youxiang, L.1
  • 17
    • 77951193583 scopus 로고    scopus 로고
    • An approach to increase prediction precision of gm(1,1) model based on optimization of the initial condition
    • Yuhong W, Yaoguo D, Yueqing L et al (2010) An approach to increase prediction precision of gm(1,1) model based on optimization of the initial condition. Expert Syst Appl 37(8):5640–5644
    • (2010) Expert Syst Appl , vol.37 , Issue.8 , pp. 5640-5644
    • Yuhong, W.1    Yaoguo, D.2    Yueqing, L.3
  • 18
    • 77949266106 scopus 로고    scopus 로고
    • Time series model (Grey-Markov, Grey model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India
    • Kumar U, Jain VK (2010) Time series model (Grey-Markov, Grey model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India. Energy 35(4):1709–1716
    • (2010) Energy , vol.35 , Issue.4 , pp. 1709-1716
    • Kumar, U.1    Jain, V.K.2
  • 19
    • 34250208764 scopus 로고    scopus 로고
    • Grey prediction with rolling mechanism for electricity demand of turkey
    • Akay D, Atak M (2007) Grey prediction with rolling mechanism for electricity demand of turkey. Energy 32(9):1670–1675
    • (2007) Energy , vol.32 , Issue.9 , pp. 1670-1675
    • Akay, D.1    Atak, M.2
  • 20
    • 71749116803 scopus 로고    scopus 로고
    • Grey system theory-based models in time series prediction
    • Kayacan E, Ulutas B, Kaynak O (2010) Grey system theory-based models in time series prediction. Expert Syst Appl 37(2):1784–1789
    • (2010) Expert Syst Appl , vol.37 , Issue.2 , pp. 1784-1789
    • Kayacan, E.1    Ulutas, B.2    Kaynak, O.3
  • 21
    • 84860886145 scopus 로고    scopus 로고
    • forecasting performance of grey prediction for education expenditure and school enrollment
    • Vivian Tang H-W, Yin M-S (2012) forecasting performance of grey prediction for education expenditure and school enrollment. Econ Educ Rev 31:452–462
    • (2012) Econ Educ Rev , vol.31 , pp. 452-462
    • Vivian Tang, H.-W.1    Yin, M.-S.2
  • 23
    • 60949083852 scopus 로고    scopus 로고
    • A new grey prediction model fgm(1,1)
    • Tien T-L (2009) A new grey prediction model fgm(1,1). Math Comput Model 49:1416–1426
    • (2009) Math Comput Model , vol.49 , pp. 1416-1426
    • Tien, T.-L.1
  • 24
    • 84872606746 scopus 로고    scopus 로고
    • Present and future:a trend forecasting and ranking of university types for innovative development from an intellectual capital perspective
    • Chen I-S, Chen J-K (2013) Present and future:a trend forecasting and ranking of university types for innovative development from an intellectual capital perspective. Qual Quant 47:335–352
    • (2013) Qual Quant , vol.47 , pp. 335-352
    • Chen, I.-S.1    Chen, J.-K.2
  • 25
    • 84876095872 scopus 로고    scopus 로고
    • Methods and model of grey modeling for approximation non-homogenous exponential data
    • Liqing Z, Huaji S (2013) Methods and model of grey modeling for approximation non-homogenous exponential data. Syst Eng Theory Pract 33(3):689–694
    • (2013) Syst Eng Theory Pract , vol.33 , Issue.3 , pp. 689-694
    • Liqing, Z.1    Huaji, S.2
  • 26
    • 84875379783 scopus 로고    scopus 로고
    • (1,1) model and its application in forecasting of fuel production
    • Zhou W, He J-M, Generalized GM (2013) (1,1) model and its application in forecasting of fuel production. Appl Math Model 37:33–39
    • (2013) Appl Math Model , vol.37 , pp. 33-39
    • Zhou, W.1    He, J.-M.2    Generalized, G.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.