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Volumn 5, Issue 1, 2006, Pages 155-171

Predicting global Internet growth using augmented diffusion, fuzzy regression and neural network models

Author keywords

Diffusion; Forecasting; Fuzzy regression; Global Internet growth; Neural network

Indexed keywords


EID: 33746242233     PISSN: 02196220     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219622006001861     Document Type: Article
Times cited : (7)

References (40)
  • 1
    • 0442319924 scopus 로고    scopus 로고
    • How to anticipate the Internet's global diffusion
    • A. Rai, T. Ravichandran and S. Samaddar, How to anticipate the Internet's global diffusion, Commun. ACM 40(11) (1997) 11-17.
    • (1997) Commun. ACM , vol.40 , Issue.11 , pp. 11-17
    • Rai, A.1    Ravichandran, T.2    Samaddar, S.3
  • 2
    • 0013455079 scopus 로고
    • An integrative model of IS spending growth
    • V. Gurbaxani and H. Mendelson, An integrative model of IS spending growth, ISR 1(1) (1990) 23-46.
    • (1990) ISR , vol.1 , Issue.1 , pp. 23-46
    • Gurbaxani, V.1    Mendelson, H.2
  • 3
    • 0031101386 scopus 로고    scopus 로고
    • Decision support on demand: Emerging electronic markets for decision technologies
    • H. K. Bhargava, R. Krishnan and R. Muller, Decision support on demand: emerging electronic markets for decision technologies, Decision Support Syst. 19 (1997) 193-214.
    • (1997) Decision Support Syst. , vol.19 , pp. 193-214
    • Bhargava, H.K.1    Krishnan, R.2    Muller, R.3
  • 5
    • 0030218406 scopus 로고    scopus 로고
    • Robust and efficient methods for stochastic finite element analysis using Monte Carlo simulation
    • M. Papadrakakis and V. Papadopoulos, Robust and efficient methods for stochastic finite element analysis using Monte Carlo simulation, Computer Methods Appl. Mech. Eng. 134(3-4) (1996) 325-340.
    • (1996) Computer Methods Appl. Mech. Eng. , vol.134 , Issue.3-4 , pp. 325-340
    • Papadrakakis, M.1    Papadopoulos, V.2
  • 6
    • 0028385414 scopus 로고
    • Fuzzy logic, neural networks and soft computing
    • L. Zadeh, Fuzzy logic, neural networks and soft computing, Commun. ACM 37(3) (1994) 77-84.
    • (1994) Commun. ACM , vol.37 , Issue.3 , pp. 77-84
    • Zadeh, L.1
  • 7
    • 0036604501 scopus 로고    scopus 로고
    • Integrating knowledge management into enterprise environments for the next generation decision support
    • to appear
    • N. Bolloju, M. Khalifa and E. Turban, Integrating knowledge management into enterprise environments for the next generation decision support, to appear in Decision Support Syst.
    • Decision Support Syst.
    • Bolloju, N.1    Khalifa, M.2    Turban, E.3
  • 8
    • 0000325717 scopus 로고
    • Fuzzy least square
    • P. Diamond, Fuzzy least square, Inf. Sci. 46 (1988) 141-157.
    • (1988) Inf. Sci. , vol.46 , pp. 141-157
    • Diamond, P.1
  • 9
    • 0023999614 scopus 로고
    • Fuzzy logic
    • L. Zadeh, Fuzzy logic, IEEE Computer, 21 (1988) 83-93.
    • (1988) IEEE Computer , vol.21 , pp. 83-93
    • Zadeh, L.1
  • 10
    • 0343005188 scopus 로고    scopus 로고
    • S-curve regression model in fuzzy environment
    • R. Xu, S-curve regression model in fuzzy environment, Fuzzy Sets Syst. 90 (1997) 317-326.
    • (1997) Fuzzy Sets Syst. , vol.90 , pp. 317-326
    • Xu, R.1
  • 12
    • 0006276254 scopus 로고    scopus 로고
    • Formulation of qualitative models using fuzzy logic
    • N. Bolloju, Formulation of qualitative models using fuzzy logic, Decision Support Syst. 17 (1996) 275-298.
    • (1996) Decision Support Syst. , vol.17 , pp. 275-298
    • Bolloju, N.1
  • 14
    • 0028386809 scopus 로고
    • Fuzzy systems: An overview
    • T. Munakata and Y. Jani, Fuzzy systems: an overview, Commun. ACM 37(3) (1994) 69-76.
    • (1994) Commun. ACM , vol.37 , Issue.3 , pp. 69-76
    • Munakata, T.1    Jani, Y.2
  • 15
    • 0022026102 scopus 로고
    • Fuzzy linear regression and its applications to forecasting in uncertain environment
    • B. Heshmaty and A. Kandel, Fuzzy linear regression and its applications to forecasting in uncertain environment, Fuzzy Sets Syst. 15 (1985) 159-191.
    • (1985) Fuzzy Sets Syst. , vol.15 , pp. 159-191
    • Heshmaty, B.1    Kandel, A.2
  • 16
    • 0034325806 scopus 로고    scopus 로고
    • Resolution of fuzzy regression model
    • H. Wang and R. Tsaur, Resolution of fuzzy regression model, Eur. J. Oper. Res. 126 (2000) 637-650.
    • (2000) Eur. J. Oper. Res. , vol.126 , pp. 637-650
    • Wang, H.1    Tsaur, R.2
  • 20
    • 33746180699 scopus 로고    scopus 로고
    • Demands estimation of new telecommunications services in fuzzy environment
    • L. Lin, Demands estimation of new telecommunications services in fuzzy environment, Int. J. Inf. Technol. Decision Making 2(2) (2003) 333-347.
    • (2003) Int. J. Inf. Technol. Decision Making , vol.2 , Issue.2 , pp. 333-347
    • Lin, L.1
  • 21
    • 33746180698 scopus 로고    scopus 로고
    • Classifications of credit cardholder behavior by using fuzzy linear programming
    • J. He, X. Liu, Y. Shi, W. Xu and N. Yan, Classifications of credit cardholder behavior by using fuzzy linear programming, Int. J. Inf. Technol. Decision Making 3(4) (2004) 633-650.
    • (2004) Int. J. Inf. Technol. Decision Making , vol.3 , Issue.4 , pp. 633-650
    • He, J.1    Liu, X.2    Shi, Y.3    Xu, W.4    Yan, N.5
  • 22
    • 33746185651 scopus 로고    scopus 로고
    • Ranking fuzzy number based on lexicographic screening procedure
    • M. Wang, H. Wang and C. Lin, Ranking fuzzy number based on lexicographic screening procedure, Int. J. Inf. Technol. Decision Making 4(4) (2005) 663-678.
    • (2005) Int. J. Inf. Technol. Decision Making , vol.4 , Issue.4 , pp. 663-678
    • Wang, M.1    Wang, H.2    Lin, C.3
  • 24
    • 16244415775 scopus 로고    scopus 로고
    • Application of f-regression to fuzzy classification problem
    • B. Izyumov, Application of f-regression to fuzzy classification problem, in Proc. EUSFLAT Conf. (2003), http://www.fuzzy.ru/overview/eusflat2003/.
    • (2003) Proc. EUSFLAT Conf.
    • Izyumov, B.1
  • 25
    • 0001325256 scopus 로고    scopus 로고
    • Insight of a fuzzy regression model
    • H. F. Wang and R. C. Tsaur, Insight of a fuzzy regression model, Fuzzy Sets Syst. 112 (2000) 355-369.
    • (2000) Fuzzy Sets Syst. , vol.112 , pp. 355-369
    • Wang, H.F.1    Tsaur, R.C.2
  • 26
    • 33746194148 scopus 로고
    • Application of neural network technology to short-term system load forecasting
    • Athens, Greece
    • A. Papalexopoulos, S. Hao and T. Peng, Application of neural network technology to short-term system load forecasting, in Proc. IEEE/NTUA Athens Power Tech. Conf. (Athens, Greece, 1993).
    • (1993) Proc. IEEE/NTUA Athens Power Tech. Conf.
    • Papalexopoulos, A.1    Hao, S.2    Peng, T.3
  • 28
    • 84997479670 scopus 로고
    • Managerial applications of neural networks: The case of bank failure predictions
    • K. Tam and M. Kiang, Managerial applications of neural networks: the case of bank failure predictions. Mgmt. Sci. J. Inst. Manage. Sci. 38 (1992) 926-947.
    • (1992) Mgmt. Sci. J. Inst. Manage. Sci. , vol.38 , pp. 926-947
    • Tam, K.1    Kiang, M.2
  • 29
    • 0026258339 scopus 로고
    • Time series forecasting using neural networks vs. flax-Jenkins methodology
    • Z. Tang, C. Almieda and P. A. Fishwick, Time series forecasting using neural networks vs. flax-Jenkins methodology, Simulation 57(5) (1991) 303-310.
    • (1991) Simulation , vol.57 , Issue.5 , pp. 303-310
    • Tang, Z.1    Almieda, C.2    Fishwick, P.A.3
  • 30
    • 0002821764 scopus 로고
    • Artificial neural network models for forecasting and decision making
    • T. Hill, L. Marquez, M. O'Connor and W. Remus, Artificial neural network models for forecasting and decision making, Int. J. Forecasting 10(1) (1994) 5-15.
    • (1994) Int. J. Forecasting , vol.10 , Issue.1 , pp. 5-15
    • Hill, T.1    Marquez, L.2    O'Connor, M.3    Remus, W.4
  • 32
    • 0030576749 scopus 로고    scopus 로고
    • Prediction of time series by a structural learning of neural networks
    • M. Ishikawa and T. Moriyama, Prediction of time series by a structural learning of neural networks, Fuzzy Sets Syst. 82 (1996) 167-176.
    • (1996) Fuzzy Sets Syst. , vol.82 , pp. 167-176
    • Ishikawa, M.1    Moriyama, T.2
  • 35
    • 0442278468 scopus 로고    scopus 로고
    • Global Internet adoption: What factors are responsible?
    • Decision Sciences Institute, Atlanta
    • K. Bagchi and S. Mukhopadhyay, Global Internet adoption: what factors are responsible? in Decision Sci. Inst. 2003 Proc. (Decision Sciences Institute, Atlanta, 2003), pp. 1-6.
    • (2003) Decision Sci. Inst. 2003 Proc. , pp. 1-6
    • Bagchi, K.1    Mukhopadhyay, S.2
  • 36
    • 0001685643 scopus 로고
    • Technological change and the demand for computers
    • G. Chow, Technological change and the demand for computers, Am. Econ. Rev. 57 (1967) 1117-1130.
    • (1967) Am. Econ. Rev. , vol.57 , pp. 1117-1130
    • Chow, G.1
  • 40
    • 0003079343 scopus 로고
    • Comparative study of artificial neural network and statistical models for predicting student grade point averages
    • W. Gorr, D. Nagin and J. Szczypula, Comparative study of artificial neural network and statistical models for predicting student grade point averages, Int. J. Forecasting 10 (1994) 17-34.
    • (1994) Int. J. Forecasting , vol.10 , pp. 17-34
    • Gorr, W.1    Nagin, D.2    Szczypula, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.