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Volumn 158, Issue 24, 2007, Pages 2734-2745

Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences

Author keywords

AR models; Functional equivalence; Fuzzy rule based systems; Fuzzy rules; STAR models

Indexed keywords

FUZZY SYSTEMS; LINGUISTICS; MATHEMATICAL MODELS; REGRESSION ANALYSIS; TIME SERIES ANALYSIS;

EID: 34848835530     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2007.03.021     Document Type: Article
Times cited : (38)

References (44)
  • 1
    • 0035421384 scopus 로고    scopus 로고
    • A new transformed input-domain ANFIS for highly nonlinear system modelling and prediction
    • Abdelrahim E.M., and Yahagi T. A new transformed input-domain ANFIS for highly nonlinear system modelling and prediction. IEICE Trans. Fundamentals E84-A 8 (2001) 1981-1985
    • (2001) IEICE Trans. Fundamentals , vol.E84-A , Issue.8 , pp. 1981-1985
    • Abdelrahim, E.M.1    Yahagi, T.2
  • 2
    • 34848928034 scopus 로고    scopus 로고
    • R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera, Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modelling, Soft Computing, 2005, in press.
  • 4
    • 34848886269 scopus 로고    scopus 로고
    • C. Couvreur, P. Couvreur, Neural networks and statistics: a naive comparison, 1997.
  • 5
    • 0029352924 scopus 로고
    • Fuzzy and neuro-fuzzy computing models for electric load forecasting
    • Dash P.K., Liew A.C., Rahman S., and Dash S. Fuzzy and neuro-fuzzy computing models for electric load forecasting. Eng. Appl. Artificial Intelligence 8 4 (1995) 423-433
    • (1995) Eng. Appl. Artificial Intelligence , vol.8 , Issue.4 , pp. 423-433
    • Dash, P.K.1    Liew, A.C.2    Rahman, S.3    Dash, S.4
  • 6
    • 0002158185 scopus 로고    scopus 로고
    • Testing the adequacy of smooth transition autoregressive models
    • Eitrheim O., and Teräsvirta T. Testing the adequacy of smooth transition autoregressive models. J. Econometrics 74 (1996) 59-76
    • (1996) J. Econometrics , vol.74 , pp. 59-76
    • Eitrheim, O.1    Teräsvirta, T.2
  • 8
    • 0037331913 scopus 로고    scopus 로고
    • Data-driven linguistic modelling using relational fuzzy rules
    • Gaweda A., and Zurada J. Data-driven linguistic modelling using relational fuzzy rules. IEEE Trans. Fuzzy Systems 11 1 (2003) 121-134
    • (2003) IEEE Trans. Fuzzy Systems , vol.11 , Issue.1 , pp. 121-134
    • Gaweda, A.1    Zurada, J.2
  • 9
    • 0027167176 scopus 로고    scopus 로고
    • J.-S. Roger Jang, C.-T. Sun, Predicting chaotic time series with fuzzy if-then rules, In: Proc. of IEEE Internat. Conf. Fuzzy Systems, 1993.
  • 10
    • 0027601884 scopus 로고
    • ANFIS: adaptive-network-based fuzzy inference system
    • Jang J.-S.R. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Systems Man and Cybernet. 23 3 (1993) 665-684
    • (1993) IEEE Trans. Systems Man and Cybernet. , vol.23 , Issue.3 , pp. 665-684
    • Jang, J.-S.R.1
  • 11
    • 0037191007 scopus 로고    scopus 로고
    • Short-term load forecasting based on artificial neural networks parallels implementation
    • Kalaitzakis K., Stavrakakis G.S., and Anagnostakis E.M. Short-term load forecasting based on artificial neural networks parallels implementation. Electric Power Systems Res. 63 (2002) 185-196
    • (2002) Electric Power Systems Res. , vol.63 , pp. 185-196
    • Kalaitzakis, K.1    Stavrakakis, G.S.2    Anagnostakis, E.M.3
  • 12
    • 0035670764 scopus 로고    scopus 로고
    • Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning
    • Kasabov N. Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning. IEEE Trans. Systems Man and Cybernet. Part B 31 6 (2001) 902-918
    • (2001) IEEE Trans. Systems Man and Cybernet. Part B , vol.31 , Issue.6 , pp. 902-918
    • Kasabov, N.1
  • 13
    • 0035659641 scopus 로고    scopus 로고
    • On-line learning, reasoning, rule extraction and aggregation in locally optimized evolving fuzzy neural networks
    • Kasabov N. On-line learning, reasoning, rule extraction and aggregation in locally optimized evolving fuzzy neural networks. Neurocomputing 41 (2001) 25-45
    • (2001) Neurocomputing , vol.41 , pp. 25-45
    • Kasabov, N.1
  • 14
    • 0037190984 scopus 로고    scopus 로고
    • Kohonen neural network and wavelet transform based approach to short-term load forecasting
    • Kim C., Yu I., and Song Y.H. Kohonen neural network and wavelet transform based approach to short-term load forecasting. Electric Power Systems Res. 63 (2002) 169-176
    • (2002) Electric Power Systems Res. , vol.63 , pp. 169-176
    • Kim, C.1    Yu, I.2    Song, Y.H.3
  • 15
    • 0032845493 scopus 로고    scopus 로고
    • HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems
    • Kim J., and Kasabov N. HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems. Neural Networks 12 (1999) 1301-1319
    • (1999) Neural Networks , vol.12 , pp. 1301-1319
    • Kim, J.1    Kasabov, N.2
  • 17
    • 0036754795 scopus 로고    scopus 로고
    • An intelligent sales forecasting system through integration of artificial neural networks and fuzzy neural networks with fuzzy weight elimination
    • Kuo R.J., Wu P., and Wang C.P. An intelligent sales forecasting system through integration of artificial neural networks and fuzzy neural networks with fuzzy weight elimination. Neural Networks 15 7 (2002) 909-925
    • (2002) Neural Networks , vol.15 , Issue.7 , pp. 909-925
    • Kuo, R.J.1    Wu, P.2    Wang, C.P.3
  • 18
    • 0032319359 scopus 로고    scopus 로고
    • A decision support system for sales forecasting through fuzzy neural networks with asymmetric fuzzy weights
    • Kuo R.J., and Xue K.C. A decision support system for sales forecasting through fuzzy neural networks with asymmetric fuzzy weights. Decision Support System 24 2 (1998) 105-126
    • (1998) Decision Support System , vol.24 , Issue.2 , pp. 105-126
    • Kuo, R.J.1    Xue, K.C.2
  • 19
    • 34848817589 scopus 로고    scopus 로고
    • A. Lendasse, M. Verleysen, E. de Bodt, M. Cottrell, P. Grégoire, Forecasting time-series by Kohonen classification, In: European Symposium on Artificial Neural Networks, Brussels, April 1998.
  • 20
    • 0001034441 scopus 로고    scopus 로고
    • A new artificial neural network based fuzzy inference system with moving consequents in if-then rules and selected applications
    • Leski J., and Czogala E. A new artificial neural network based fuzzy inference system with moving consequents in if-then rules and selected applications. Fuzzy Sets and Systems 108 (1999) 289-297
    • (1999) Fuzzy Sets and Systems , vol.108 , pp. 289-297
    • Leski, J.1    Czogala, E.2
  • 21
    • 0000894103 scopus 로고    scopus 로고
    • Testing linearity against smooth transition autoregressive models
    • Luukkonen R., Saikkonen P., and Teräsvirta T. Testing linearity against smooth transition autoregressive models. Biometrika 75 (1998) 491-499
    • (1998) Biometrika , vol.75 , pp. 491-499
    • Luukkonen, R.1    Saikkonen, P.2    Teräsvirta, T.3
  • 22
    • 0032301756 scopus 로고    scopus 로고
    • Predicting a chaotic time series using a fuzzy neural network
    • Maguire L.P., Roche B., McGuinnity T.M., and McDaid L.J. Predicting a chaotic time series using a fuzzy neural network. Inform. Sci. 112 1-4 (1998) 125-136
    • (1998) Inform. Sci. , vol.112 , Issue.1-4 , pp. 125-136
    • Maguire, L.P.1    Roche, B.2    McGuinnity, T.M.3    McDaid, L.J.4
  • 25
    • 34848815240 scopus 로고    scopus 로고
    • M.C. Medeiros, T. Teräsvirta, G. Rech, Building neural network models for time series: a statistical approach, J. Forecasting, forthcoming.
  • 26
    • 0001121243 scopus 로고    scopus 로고
    • A hybrid linear-neural model for time series forecasting
    • Medeiros M.C., and Veiga A. A hybrid linear-neural model for time series forecasting. IEEE Trans. Neural Networks 11 6 (2000) 1402-1412
    • (2000) IEEE Trans. Neural Networks , vol.11 , Issue.6 , pp. 1402-1412
    • Medeiros, M.C.1    Veiga, A.2
  • 27
    • 0141976692 scopus 로고    scopus 로고
    • Diagnostic checking in a flexible nonlinear time series model
    • Medeiros M.C., and Veiga A. Diagnostic checking in a flexible nonlinear time series model. J. Time Series Anal. 24 (2003) 461-482
    • (2003) J. Time Series Anal. , vol.24 , pp. 461-482
    • Medeiros, M.C.1    Veiga, A.2
  • 28
    • 13844275978 scopus 로고    scopus 로고
    • A flexible coefficient smooth transition time series model
    • Medeiros M.C., and Veiga A. A flexible coefficient smooth transition time series model. IEEE Trans. Neural Networks 16 1 (2005) 97-113
    • (2005) IEEE Trans. Neural Networks , vol.16 , Issue.1 , pp. 97-113
    • Medeiros, M.C.1    Veiga, A.2
  • 30
    • 0031193365 scopus 로고    scopus 로고
    • Nonlinear time-series forecasting: a fuzzy-neural approach
    • Nie J. Nonlinear time-series forecasting: a fuzzy-neural approach. Neurocomputing 16 (1997) 63-76
    • (1997) Neurocomputing , vol.16 , pp. 63-76
    • Nie, J.1
  • 31
    • 34848878811 scopus 로고    scopus 로고
    • D. Nieto, J.L. Aznarte, F. Alba, J.M. Benítez, C. Díaz de la Guardia, C. De Linares, Modelling and forecasting Olea Europaea L. airborne pollen concentrations in Granada (Southern Spain) using Soft Computing, In: Polen, vol. 14, 2004, pp. 372-373.
  • 32
    • 0040805946 scopus 로고    scopus 로고
    • Business cycle non-linearities in UK consumption and production
    • Ocal N., and Osborn D.R. Business cycle non-linearities in UK consumption and production. J. Appl. Econometrics 15 (2000) 27-43
    • (2000) J. Appl. Econometrics , vol.15 , pp. 27-43
    • Ocal, N.1    Osborn, D.R.2
  • 33
    • 34848916884 scopus 로고    scopus 로고
    • G. Rech, Forecasting with artificial neural network models, Working Paper Series in Economics and Finance 491, Stockholm School of Economics, February 2002, available at 〈http://www.ideas.repec.org/p/hhs/hastef/0491.html〉.
  • 34
    • 34848908196 scopus 로고    scopus 로고
    • W.S. Sarle, Neural networks and statistical models, In: Proc. of the Nineteenth Annual SAS Users Group International Conference, April 1994, Cary, NC, SAS Institute, 1994, pp. 1538-1550.
  • 35
    • 4944249799 scopus 로고    scopus 로고
    • Membership functions and probability measures of fuzzy sets
    • Singpurwalla N.D., and Booker J.M. Membership functions and probability measures of fuzzy sets. J. Amer. Statist. Assoc. 99 467 (2004) 867-877
    • (2004) J. Amer. Statist. Assoc. , vol.99 , Issue.467 , pp. 867-877
    • Singpurwalla, N.D.1    Booker, J.M.2
  • 36
    • 0036433586 scopus 로고    scopus 로고
    • The use of a neural network to forecast daily grass pollen concentration in a Mediterranean region: the southern part of the Iberian Peninsula
    • Sánchez-Mesa J.A., Galán C., Martínez Heras J.A., and Hervás Martínez C. The use of a neural network to forecast daily grass pollen concentration in a Mediterranean region: the southern part of the Iberian Peninsula. Clinical Experimental Allergy 32 (2002) 1606-1612
    • (2002) Clinical Experimental Allergy , vol.32 , pp. 1606-1612
    • Sánchez-Mesa, J.A.1    Galán, C.2    Martínez Heras, J.A.3    Hervás Martínez, C.4
  • 37
    • 0034541159 scopus 로고    scopus 로고
    • Short term electric load forecasting via fuzzy neural collaboration
    • Tamimi M., and Egbert R. Short term electric load forecasting via fuzzy neural collaboration. Electric Power Systems Res. 56 (2000) 243-248
    • (2000) Electric Power Systems Res. , vol.56 , pp. 243-248
    • Tamimi, M.1    Egbert, R.2
  • 38
    • 84923053681 scopus 로고
    • Specification, estimation and evaluation of smooth transition autoregresive models
    • Teräsvirta T. Specification, estimation and evaluation of smooth transition autoregresive models. J. Amer. Statist. Assoc. 89 (1994) 208-218
    • (1994) J. Amer. Statist. Assoc. , vol.89 , pp. 208-218
    • Teräsvirta, T.1
  • 39
    • 34848849258 scopus 로고    scopus 로고
    • T. Teräsvirta, D. van Dijk, M. Medeiros, Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: a re-examination, Technical Report 561, Stockholm School of Economics, July 2004.
  • 40
    • 0018067185 scopus 로고    scopus 로고
    • H. Tong, On a threshold model, Pattern Recognition Signal Process., 1978.
  • 42
    • 85045980281 scopus 로고    scopus 로고
    • Smooth transition autoregresive models-a survey of recent developments
    • van Dijk D., Teräsvirta T., and Franses P.H. Smooth transition autoregresive models-a survey of recent developments. Econometric Rev. 21 1 (2002) 1-47
    • (2002) Econometric Rev. , vol.21 , Issue.1 , pp. 1-47
    • van Dijk, D.1    Teräsvirta, T.2    Franses, P.H.3
  • 43
    • 34848921686 scopus 로고    scopus 로고
    • J. Vázquez-Abad, F. Fdez-Riverola, J.M. Corchado, Forecasting economic cycles with conectionist models, In: I Internat. Meeting on Economic Cycles, 2000.
  • 44


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