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Volumn 73, Issue 10-12, 2010, Pages 2077-2088

Evolutionary algorithms for the selection of time lags for time series forecasting by fuzzy inference systems

Author keywords

Attractor embedding; Evolutionary algorithm; Fuzzy inference system; Time series forecasting

Indexed keywords

DELAY COORDINATE; DELAY PHASE SPACE; FALSE NEAREST NEIGHBOR; FITNESS FUNCTIONS; FUZZY INFERENCE SYSTEM; FUZZY INFERENCE SYSTEMS; FUZZY PREDICTION; NONUNIFORM; NUMERICAL EXPERIMENTS; OPTIMAL SETS; PREDICTION ERRORS; RECONSTRUCTED PHASE SPACE; TIME LAG; TIME SERIES FORECASTING;

EID: 77952549111     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2010.02.014     Document Type: Article
Times cited : (51)

References (33)
  • 1
    • 33847321021 scopus 로고    scopus 로고
    • Fuzzy prediction of chaotic time series based on singular value decomposition
    • Gu H., Wang H. Fuzzy prediction of chaotic time series based on singular value decomposition. Applied Mathematics and Computation 2007, 185:1171-1185.
    • (2007) Applied Mathematics and Computation , vol.185 , pp. 1171-1185
    • Gu, H.1    Wang, H.2
  • 2
    • 38649123668 scopus 로고    scopus 로고
    • A bivariate fuzzy time series model to forecast the TAIEX
    • Hui-Kuang Yu T., Huarng Kun-Huang A bivariate fuzzy time series model to forecast the TAIEX. Expert Systems with Applications 2008, 34:2945-2952.
    • (2008) Expert Systems with Applications , vol.34 , pp. 2945-2952
    • Hui-Kuang Yu, T.1    Huarng, K.-H.2
  • 3
    • 39049162430 scopus 로고    scopus 로고
    • A new hybrid artificial neural networks and fuzzy regression model for time series forecasting
    • Khashei M., Reza S., Bijari M. A new hybrid artificial neural networks and fuzzy regression model for time series forecasting. Fuzzy Sets and Systems 2008, 159:769-786.
    • (2008) Fuzzy Sets and Systems , vol.159 , pp. 769-786
    • Khashei, M.1    Reza, S.2    Bijari, M.3
  • 4
    • 37249083060 scopus 로고    scopus 로고
    • Using adaptive neuro-fuzzy inference system for hydrological time series prediction
    • Zounemat-Kermani M., Teshnehlab M. Using adaptive neuro-fuzzy inference system for hydrological time series prediction. Applied Soft Computing 2008, 8:928-936.
    • (2008) Applied Soft Computing , vol.8 , pp. 928-936
    • Zounemat-Kermani, M.1    Teshnehlab, M.2
  • 5
    • 57649224044 scopus 로고    scopus 로고
    • A simple model to predict soil moisture: bridging event and continuous hydrological (BEACH) modeling
    • Pedregal D.J., Rivas V.Feliua R., Sánchez L., Linares A. A simple model to predict soil moisture: bridging event and continuous hydrological (BEACH) modeling. Environmental Modelling & Software 2009, 24:502-509.
    • (2009) Environmental Modelling & Software , vol.24 , pp. 502-509
    • Pedregal, D.J.1    Rivas V.Feliua, R.2    Sánchez, L.3    Linares, A.4
  • 6
    • 56349117682 scopus 로고    scopus 로고
    • Adaptive fuzzy model identification to predict the heat transfer coefficient in pool boiling of distilled water
    • Das M.K., Kishor N. Adaptive fuzzy model identification to predict the heat transfer coefficient in pool boiling of distilled water. Expert Systems with Applications 2009, 36(2):1142-1154.
    • (2009) Expert Systems with Applications , vol.36 , Issue.2 , pp. 1142-1154
    • Das, M.K.1    Kishor, N.2
  • 7
    • 58149468814 scopus 로고    scopus 로고
    • Improvement of auto-regressive integrated moving average models using fuzzy logic and artificial neural networks (ANNs)
    • Khashei M., Bijari M., Ardali G.A.R. Improvement of auto-regressive integrated moving average models using fuzzy logic and artificial neural networks (ANNs). Neurocomputing 2009, 72(4-6):956-967.
    • (2009) Neurocomputing , vol.72 , Issue.4-6 , pp. 956-967
    • Khashei, M.1    Bijari, M.2    Ardali, G.A.R.3
  • 11
    • 0000805615 scopus 로고
    • Optimal time delay and embedding dimension for delay time coordinates by the analysis of global statical and local dynamical behaviour of strange attractors
    • Buzug T., Pfister G. Optimal time delay and embedding dimension for delay time coordinates by the analysis of global statical and local dynamical behaviour of strange attractors. Physical Review A 1992, 45:7073-7084.
    • (1992) Physical Review A , vol.45 , pp. 7073-7084
    • Buzug, T.1    Pfister, G.2
  • 12
    • 33847395391 scopus 로고    scopus 로고
    • A novel approach for estimation of optimal embedding parameters of nonlinear time series by structural learning of neural network
    • Manabe Y., Chakraborty B. A novel approach for estimation of optimal embedding parameters of nonlinear time series by structural learning of neural network. Neurocomputing 2007, 70:1360-1371.
    • (2007) Neurocomputing , vol.70 , pp. 1360-1371
    • Manabe, Y.1    Chakraborty, B.2
  • 13
    • 67349173600 scopus 로고    scopus 로고
    • Non-uniform attractor embedding for time series forecasting by fuzzy inference systems
    • Ragulskis M., Lukoseviciute K. Non-uniform attractor embedding for time series forecasting by fuzzy inference systems. Neurocomputing 2009, 72(10-12):2618-2626.
    • (2009) Neurocomputing , vol.72 , Issue.10-12 , pp. 2618-2626
    • Ragulskis, M.1    Lukoseviciute, K.2
  • 14
    • 56349084789 scopus 로고    scopus 로고
    • Dynamically exploring internal mechanism of stock market by fuzzy-based support vector machines with high dimension input space and genetic algorithm
    • Chiu D.Y., Chen P.J. Dynamically exploring internal mechanism of stock market by fuzzy-based support vector machines with high dimension input space and genetic algorithm. Expert Systems with Applications 2009, 36(2, Part1):1240-1248.
    • (2009) Expert Systems with Applications , vol.36 , Issue.2 PART 1 , pp. 1240-1248
    • Chiu, D.Y.1    Chen, P.J.2
  • 15
    • 56349089474 scopus 로고    scopus 로고
    • Adaptive network-based fuzzy inference system for prediction of surface roughness in end milling process using hybrid Taguchi-genetic learning algorithm
    • Ho W.H., Tsai J.T., Lin B.T., Chou J.H. Adaptive network-based fuzzy inference system for prediction of surface roughness in end milling process using hybrid Taguchi-genetic learning algorithm. Expert Systems with Applications 2009, 36(2, Part 2):3216-3222.
    • (2009) Expert Systems with Applications , vol.36 , Issue.2 PART 2 , pp. 3216-3222
    • Ho, W.H.1    Tsai, J.T.2    Lin, B.T.3    Chou, J.H.4
  • 16
    • 32544448210 scopus 로고    scopus 로고
    • Optimal selection of time lags for TDSEP based on genetic algorithm
    • Sun Z.L., Huang D.S., Zheng C.H., Shang L. Optimal selection of time lags for TDSEP based on genetic algorithm. Neurocomputing 2006, 69:884-887.
    • (2006) Neurocomputing , vol.69 , pp. 884-887
    • Sun, Z.L.1    Huang, D.S.2    Zheng, C.H.3    Shang, L.4
  • 17
    • 53049109819 scopus 로고    scopus 로고
    • A new intelligent system methodology for time series forecasting with artificial neural networks
    • Ferreira T.A.E., Vasconcelos G.C., Adeodato P.J.L. A new intelligent system methodology for time series forecasting with artificial neural networks. Neural Processing Letters 2008, 28:113-129.
    • (2008) Neural Processing Letters , vol.28 , pp. 113-129
    • Ferreira, T.A.E.1    Vasconcelos, G.C.2    Adeodato, P.J.L.3
  • 18
    • 65449144483 scopus 로고    scopus 로고
    • An intelligent hybrid morphological-rank-linear method for financial time series prediction
    • de A.Araújo R., Ferreira T.A.E. An intelligent hybrid morphological-rank-linear method for financial time series prediction. Neurocomputing 2009, 72(10-12):2507-2524.
    • (2009) Neurocomputing , vol.72 , Issue.10-12 , pp. 2507-2524
    • de A.Araújo, R.1    Ferreira, T.A.E.2
  • 20
    • 69249232121 scopus 로고    scopus 로고
    • A single from genetic algorithm for parallel multi-objective optimization in dynamic environments
    • Camara M., Ortega J., de Toro F. A single from genetic algorithm for parallel multi-objective optimization in dynamic environments. Neurocomputing 2009, 72:3570-3579.
    • (2009) Neurocomputing , vol.72 , pp. 3570-3579
    • Camara, M.1    Ortega, J.2    de Toro, F.3
  • 21
    • 55949129035 scopus 로고    scopus 로고
    • A population-based artificial immune system for numerical optimization
    • Gong M., Jiao L., Zhang X. A population-based artificial immune system for numerical optimization. Neurocomputing 2008, 72:149-161.
    • (2008) Neurocomputing , vol.72 , pp. 149-161
    • Gong, M.1    Jiao, L.2    Zhang, X.3
  • 23
    • 0002338687 scopus 로고
    • A genetic algorithm tutorial
    • Whitley D. A genetic algorithm tutorial. Statistics and Computing 1994, 4(2):65-85.
    • (1994) Statistics and Computing , vol.4 , Issue.2 , pp. 65-85
    • Whitley, D.1
  • 24
    • 33847321021 scopus 로고    scopus 로고
    • Fuzzy prediction of chaotic time series based on singular value decomposition
    • Gu H., Wang H. Fuzzy prediction of chaotic time series based on singular value decomposition. Applied Mathematics and Computation 2007, 185:1171-1185.
    • (2007) Applied Mathematics and Computation , vol.185 , pp. 1171-1185
    • Gu, H.1    Wang, H.2
  • 25
    • 33748424239 scopus 로고    scopus 로고
    • The effect of different basis functions on a radial basis function network for time series prediction: a comparative study
    • Harpharm C., Dawson C.W. The effect of different basis functions on a radial basis function network for time series prediction: a comparative study. Neurocomputing 2006, 69:2161-2170.
    • (2006) Neurocomputing , vol.69 , pp. 2161-2170
    • Harpharm, C.1    Dawson, C.W.2
  • 26
    • 34848861131 scopus 로고    scopus 로고
    • Chaotic time series multi-step direct prediction with partial least squares regression
    • Zunxiong L., Jianhui L. Chaotic time series multi-step direct prediction with partial least squares regression. Journal of Systems Engineering and Electronics 2007, 18:611-615.
    • (2007) Journal of Systems Engineering and Electronics , vol.18 , pp. 611-615
    • Zunxiong, L.1    Jianhui, L.2
  • 27
    • 77952542311 scopus 로고    scopus 로고
    • http://www.edc.ncl.ac.uk/highlight/rhjanuary2007g01.php.
  • 29
    • 77952541328 scopus 로고    scopus 로고
    • http://www.robjhyndman.com/TSDL/.
  • 30
    • 33845271242 scopus 로고    scopus 로고
    • Finding the most unusual time series subsequence: algorithms and applications
    • Keogh E., Lin J., Lee S.H., Herle H.V. Finding the most unusual time series subsequence: algorithms and applications. Knowledge and Information Systems 2006, 11(1):1-27.
    • (2006) Knowledge and Information Systems , vol.11 , Issue.1 , pp. 1-27
    • Keogh, E.1    Lin, J.2    Lee, S.H.3    Herle, H.V.4
  • 31
    • 49549126801 scopus 로고
    • An equation for continuous chaos
    • Rössler O.E. An equation for continuous chaos. Physics Letters 1976, 57A:397-398.
    • (1976) Physics Letters , vol.57 , pp. 397-398
    • Rössler, O.E.1
  • 33


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.