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Volumn 16, Issue 7, 2006, Pages 2053-2062

Computational intelligence methods for financial time series modeling

Author keywords

Neural networks; Time series modeling and prediction; Unsupervised clustering

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; FEEDFORWARD NEURAL NETWORKS; MATHEMATICAL MODELS; PROBLEM SOLVING; REAL TIME SYSTEMS;

EID: 33748579243     PISSN: 02181274     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218127406015891     Document Type: Article
Times cited : (10)

References (42)
  • 5
    • 0037381038 scopus 로고    scopus 로고
    • Support vector machines experts for time series forecasting
    • Cao, L. [2003] "Support vector machines experts for time series forecasting," Neurocomputing 51, 321-329.
    • (2003) Neurocomputing , vol.51 , pp. 321-329
    • Cao, L.1
  • 6
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarmexplosion, stability, and convergence in a multidimensional complex space
    • Clerc, M. & Kennedy, J. [2002] "The particle swarmexplosion, stability, and convergence in a multidimensional complex space," IEEE Trans. Evol. Comput. 6, 58-73.
    • (2002) IEEE Trans. Evol. Comput. , vol.6 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 10
    • 0024627335 scopus 로고
    • Information and entropy in strange attractors
    • Fraser, A. M. [1989] "Information and entropy in strange attractors," IEEE Trans. Inform. Th. 35, 245-262.
    • (1989) IEEE Trans. Inform. Th. , vol.35 , pp. 245-262
    • Fraser, A.M.1
  • 11
    • 85135470835 scopus 로고
    • A growing neural gas network learns topologies
    • eds. Tesauro, G., Touretzky, D. S. & Leen, T. K. (MIT Press, Cambridge MA)
    • Fritzke, B. [1995] "A growing neural gas network learns topologies," Advances in Neural Information Processing Systems, eds. Tesauro, G., Touretzky, D. S. & Leen, T. K. (MIT Press, Cambridge MA), pp. 625-632.
    • (1995) Advances in Neural Information Processing Systems , pp. 625-632
    • Fritzke, B.1
  • 12
    • 0035399722 scopus 로고    scopus 로고
    • Noisy time series prediction using a recurrent neural network and grammatical inference
    • Giles, L. C., Lawrence, S. & Tsoi, A. H. [2001] "Noisy time series prediction using a recurrent neural network and grammatical inference," Mach. Learn. 44, 161-183.
    • (2001) Mach. Learn. , vol.44 , pp. 161-183
    • Giles, L.C.1    Lawrence, S.2    Tsoi, A.H.3
  • 13
    • 0001138328 scopus 로고
    • A k-means clustering algorithm
    • Hartigan, J. A. & Wong, M. A. [1979] "A k-means clustering algorithm," Appl. Stat. 28, 100-108.
    • (1979) Appl. Stat. , vol.28 , pp. 100-108
    • Hartigan, J.A.1    Wong, M.A.2
  • 16
    • 0000810560 scopus 로고    scopus 로고
    • Practical implementation of nonlinear time series methods: The TISEAN package
    • Hegger, R., Kantz, H. & Schreiber, T. [1999] "Practical implementation of nonlinear time series methods: The TISEAN package," Chaos 9, 413-435.
    • (1999) Chaos , vol.9 , pp. 413-435
    • Hegger, R.1    Kantz, H.2    Schreiber, T.3
  • 17
    • 35949006791 scopus 로고
    • Determining embedding dimension for phase-space reconstruction using a geometrical construction
    • Kennel, M. B., Brown, R. & Abarbanel, H. D. [1992] "Determining embedding dimension for phase-space reconstruction using a geometrical construction," Phys. Rev. A 45, 3403-3411.
    • (1992) Phys. Rev. A , vol.45 , pp. 3403-3411
    • Kennel, M.B.1    Brown, R.2    Abarbanel, H.D.3
  • 20
    • 0035419653 scopus 로고    scopus 로고
    • Adaptive stepsize algorithms for online training of neural networks
    • Magoulas, G. D., Plagianakos, V. P. & Vrahatis, M. N. [2001] "Adaptive stepsize algorithms for online training of neural networks, " Nonlin. Anal. T.M.A. 47, 3425-3430.
    • (2001) Nonlin. Anal. T.M.A. , vol.47 , pp. 3425-3430
    • Magoulas, G.D.1    Plagianakos, V.P.2    Vrahatis, M.N.3
  • 21
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • Møller, M. [1993] "A scaled conjugate gradient algorithm for fast supervised learning," Neural Networks 6, 525-533.
    • (1993) Neural Networks , vol.6 , pp. 525-533
    • Møller, M.1
  • 22
    • 0344291226 scopus 로고    scopus 로고
    • Recent approaches to global optimization problems through particle swarm optimization
    • Parsopoulos, K. E. & Vrahatis, M. N. [2002] "Recent approaches to global optimization problems through particle swarm optimization," Natural Comput. 1, 235-306.
    • (2002) Natural Comput. , vol.1 , pp. 235-306
    • Parsopoulos, K.E.1    Vrahatis, M.N.2
  • 25
    • 85011438572 scopus 로고    scopus 로고
    • Approximation theory of the mlp model in neural networks
    • Pinkus, A. [1999] "Approximation theory of the mlp model in neural networks," Acta Numerica, 143-195.
    • (1999) Acta Numerica , pp. 143-195
    • Pinkus, A.1
  • 27
    • 4043139159 scopus 로고    scopus 로고
    • Parallel evolutionary training algorithms for 'hardware-friendly' neural networks
    • Plagianakos, V. P. & Vrahatis, M. N. [2002] "Parallel evolutionary training algorithms for 'hardware-friendly' neural networks," Natural Comput. 1, 307-322.
    • (2002) Natural Comput. , vol.1 , pp. 307-322
    • Plagianakos, V.P.1    Vrahatis, M.N.2
  • 28
    • 0032203424 scopus 로고    scopus 로고
    • Local dynamic modeling with self-organizing maps and applications to nonlinear system identification and control
    • Principe, J. C., Wang, L. & Motter, M. A. [1998] "Local dynamic modeling with self-organizing maps and applications to nonlinear system identification and control," Proc. IEEE 86, 2240-2258.
    • (1998) Proc. IEEE , vol.86 , pp. 2240-2258
    • Principe, J.C.1    Wang, L.2    Motter, M.A.3
  • 29
    • 0032852347 scopus 로고    scopus 로고
    • Time-series forecasting through wavelets transformation and a mixture of expert models
    • Milidiu, R. L., Machado, R. J. & Renteria, R. P. [1999] "Time-series forecasting through wavelets transformation and a mixture of expert models," Neurocomputing 28, 145-156.
    • (1999) Neurocomputing , vol.28 , pp. 145-156
    • Milidiu, R.L.1    Machado, R.J.2    Renteria, R.P.3
  • 30
    • 84943274699 scopus 로고
    • A direct adaptive method for faster backpropagation learning: The RPROP algorithm
    • San Francisco, CA
    • Riedmiller, M. & Braun, H. [1993] "A direct adaptive method for faster backpropagation learning: The RPROP algorithm," Proc. IEEE Int. Conf. Neural Networks (San Francisco, CA), pp. 586-591.
    • (1993) Proc. IEEE Int. Conf. Neural Networks , pp. 586-591
    • Riedmiller, M.1    Braun, H.2
  • 31
    • 0031194380 scopus 로고    scopus 로고
    • Uniform approximation and gamma networks
    • Sandberg, I. W. & Xu, L. [1997a] "Uniform approximation and gamma networks," Neural Networks 10, 781-784.
    • (1997) Neural Networks , vol.10 , pp. 781-784
    • Sandberg, I.W.1    Xu, L.2
  • 33
    • 22044455069 scopus 로고    scopus 로고
    • Density-based clustering in spatial databases: The algorithm GDBSCAN and its applications
    • Sander, J., Ester, M., Kriegel, H.-P. & Xu, X. [1998] "Density-based clustering in spatial databases: The algorithm GDBSCAN and its applications," Data Min. Knowl. Discov. 2, 169-194.
    • (1998) Data Min. Knowl. Discov. , vol.2 , pp. 169-194
    • Sander, J.1    Ester, M.2    Kriegel, H.-P.3    Xu, X.4
  • 34
  • 35
    • 0142000477 scopus 로고    scopus 로고
    • Differential evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces
    • Storn, R. & Price, K. [1997] "Differential evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces," J. Glob. Optim. 11, 341-359.
    • (1997) J. Glob. Optim. , vol.11 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 38
    • 0036230457 scopus 로고    scopus 로고
    • The new k-windows algorithm for improving the k-means clustering algorithm
    • Vrahatis, M. N., Boutsinas, B., Alevizos, P. & Pavlides, G. [2002] "The new k-windows algorithm for improving the k-means clustering algorithm," J. Compl. 18, 375-391.
    • (2002) J. Compl. , vol.18 , pp. 375-391
    • Vrahatis, M.N.1    Boutsinas, B.2    Alevizos, P.3    Pavlides, G.4
  • 39
    • 0034894378 scopus 로고    scopus 로고
    • An empirical analysis of data requirements for financial forecasting with neural networks
    • Walczak, S. [2001] "An empirical analysis of data requirements for financial forecasting with neural networks," J. Manag. Inform. Syst. 17, 203-222.
    • (2001) J. Manag. Inform. Syst. , vol.17 , pp. 203-222
    • Walczak, S.1
  • 40
    • 0029446195 scopus 로고
    • Nonlinear gated experts for time series: Discovering regimes and avoiding overfitting
    • Weigend, A. S., Mangeas, M. & Srivastava, A. N. [1995] "Nonlinear gated experts for time series: Discovering regimes and avoiding overfitting," Int. J. Neural Syst. 6, 373-399.
    • (1995) Int. J. Neural Syst. , vol.6 , pp. 373-399
    • Weigend, A.S.1    Mangeas, M.2    Srivastava, A.N.3
  • 41
    • 0025635525 scopus 로고
    • Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings
    • White, H. [1990] "Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings," Neural Networks 3, 535-549.
    • (1990) Neural Networks , vol.3 , pp. 535-549
    • White, H.1
  • 42
    • 0034283989 scopus 로고    scopus 로고
    • A case study on using neural networks to perform technical forecasting of forex
    • Yao, J. & Tan, C. L. [2000] "A case study on using neural networks to perform technical forecasting of forex," Neurocomput. 34, 79-98.
    • (2000) Neurocomput. , vol.34 , pp. 79-98
    • Yao, J.1    Tan, C.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.