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Volumn 38, Issue 4, 2011, Pages 3765-3776

Dynamic Ridge Polynomial Neural Network: Forecasting the univariate non-stationary and stationary trading signals

Author keywords

Dynamic Ridge Polynomial Neural Network; Financial signals; Higher order neural network; Time series prediction

Indexed keywords

COMPARATIVE EVALUATIONS; EMPIRICAL TESTING; EQUILIBRIUM STATE; EXTENSIVE SIMULATIONS; FEED-FORWARD; FINANCIAL METRICS; FINANCIAL SIGNAL; FINANCIAL TIME SERIES PREDICTIONS; FUNCTIONAL LINK NEURAL NETWORK; HIGHER ORDER; HIGHER ORDER NEURAL NETWORK; MULTI LAYER PERCEPTRON; NETWORK MODELS; NON-STATIONARY TIME SERIES; NONSTATIONARY; POLYNOMIAL NEURAL NETWORKS; PROFIT EARNING; RAPID CONVERGENCE; SIMULATION RESULT; STABILITY AND CONVERGENCE; TIME SERIES PREDICTION; TIME-SERIES DATA; UNIVARIATE;

EID: 78650716107     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.09.037     Document Type: Article
Times cited : (61)

References (24)
  • 4
    • 0742268991 scopus 로고    scopus 로고
    • Support vector machine with adaptive parameters in financial time series forecasting
    • L.J. Cao, and F.E.H. Tay Support vector machine with adaptive parameters in financial time series forecasting IEEE Transactions on Neural Networks 14 6 2003 1506 1518
    • (2003) IEEE Transactions on Neural Networks , vol.14 , Issue.6 , pp. 1506-1518
    • Cao, L.J.1    Tay, F.E.H.2
  • 5
    • 0030287892 scopus 로고    scopus 로고
    • Adaptive process optimization using Functional-Link Networks and Evolutionary Algorithm
    • R. Cass, and B. Radl Adaptive process optimization using Functional-Link Networks and Evolutionary Algorithm Control Engineering Practice 4 11 1996 1579 1584
    • (1996) Control Engineering Practice , vol.4 , Issue.11 , pp. 1579-1584
    • Cass, R.1    Radl, B.2
  • 6
    • 25444478301 scopus 로고    scopus 로고
    • Performance evaluation of neural network architectures: The case of predicting foreign exchange correlations
    • A.S. Chen, and M.T. Leung Performance evaluation of neural network architectures: The case of predicting foreign exchange correlations Journal of Forecasting 24 2005 403 420
    • (2005) Journal of Forecasting , vol.24 , pp. 403-420
    • Chen, A.S.1    Leung, M.T.2
  • 8
    • 0442319687 scopus 로고    scopus 로고
    • Modeling and trading the UER/USD exchange rate: Do neural network models perform better?
    • C.L. Dunis, and M. Williams Modeling and trading the UER/USD exchange rate: Do neural network models perform better? In Derivatives Use, Trading and Regulation 3 8 2002 211 239
    • (2002) In Derivatives Use, Trading and Regulation , vol.3 , Issue.8 , pp. 211-239
    • Dunis, C.L.1    Williams, M.2
  • 9
    • 0001666851 scopus 로고
    • Efficient higher-order neural networks for function approximation and classification
    • J. Ghosh, and Y. Shin Efficient higher-order neural networks for function approximation and classification International Journal of Neural Systems 3 4 1992 323 350
    • (1992) International Journal of Neural Systems , vol.3 , Issue.4 , pp. 323-350
    • Ghosh, J.1    Shin, Y.2
  • 10
    • 0023513717 scopus 로고
    • Learning, invariance, and generalization in high-order neural networks
    • C.L. Giles, and T. Maxwell Learning, invariance and generalization in high-order neural networks Applied Optics 26 23 1987 4972 4978 (Pubitemid 18009624)
    • (1987) Applied Optics , vol.26 , Issue.23 , pp. 4972-4978
    • Giles, C.L.1    Maxwell, T.2
  • 11
    • 0003353181 scopus 로고    scopus 로고
    • Neural networks
    • 2nd ed. Prentice-Hall, Inc. New Jersey
    • S. Haykin Neural networks A comprehensive foundation 2nd ed. 1999 Prentice-Hall, Inc. New Jersey
    • (1999) A Comprehensive Foundation
    • Haykin, S.1
  • 12
    • 0242351901 scopus 로고    scopus 로고
    • Recurrent pi-sigma networks for DPCM image coding
    • A.J. Hussain, and P. Liatsis Recurrent pi-sigma networks for DPCM image coding Neurocomputing 55 2002 363 382
    • (2002) Neurocomputing , vol.55 , pp. 363-382
    • Hussain, A.J.1    Liatsis, P.2
  • 13
    • 0040321375 scopus 로고    scopus 로고
    • (n.d.) Originalsourcefrom:McCleary&Hay, AppliedTimeSeriesAnalysisfortheSocialSciences,1980,SagePublications
    • Hyndman, R. J. (n.d.). Time Series Data Library. Downloaded from: . Original source from: McCleary & Hay, Applied Time Series Analysis for the Social Sciences, 1980, Sage Publications.
    • Time Series Data Library
    • Hyndman, R.J.1
  • 14
    • 0004121079 scopus 로고
    • San Diego: Institute for Cognitive Science report 8604, Institute for Cognitive Science, University of California
    • Jordan, M. I. (1986). Serial order: A parallel distributed processing approach. San Diego: Institute for Cognitive Science report 8604, Institute for Cognitive Science, University of California.
    • (1986) Serial Order: A Parallel Distributed Processing Approach
    • Jordan, M.I.1
  • 15
    • 0034045699 scopus 로고    scopus 로고
    • Forecasting exchange rates using general regression neural networks
    • M.T. Leung, A.S. Chen, and H. Daouk Forecasting exchange rates using general regression neural networks Computers and Operations Research 27 2000 1093 1110
    • (2000) Computers and Operations Research , vol.27 , pp. 1093-1110
    • Leung, M.T.1    Chen, A.S.2    Daouk, H.3
  • 16
    • 40649085042 scopus 로고    scopus 로고
    • System identification using Functional-Link Neural Networks with dynamic structure
    • Barcelona, Spain
    • Mirea, L.; Marcu, T. (2002). System identification using Functional-Link Neural Networks with dynamic structure. In 15th triennial world congress, Barcelona, Spain.
    • (2002) 15th Triennial World Congress
    • Mirea, L.1    Marcu, T.2
  • 17
    • 0034723704 scopus 로고    scopus 로고
    • Modeling of an intelligent pressure sensor using functional link artificial neural networks
    • J.C. Patra, and A.V.D. Bos Modeling of an intelligent pressure sensor using functional link artificial neural networks ISA Transactions 39 2000 15 27
    • (2000) ISA Transactions , vol.39 , pp. 15-27
    • Patra, J.C.1    Bos, A.V.D.2
  • 18
    • 0026375443 scopus 로고
    • The pi-sigma networks: An efficient higher-order neural network for pattern classification and function approximation
    • Seattle, Washington
    • Shin, Y.; Ghosh, J. (1991). The pi-sigma networks: An efficient higher-order neural network for pattern classification and function approximation. In Proceedings of international joint conference on neural networks, Seattle, Washington (Vol. 1, pp. 13-018).
    • (1991) Proceedings of International Joint Conference on Neural Networks , vol.1 , pp. 13-018
    • Shin, Y.1    Ghosh, J.2
  • 20
    • 40649125253 scopus 로고    scopus 로고
    • Prediction of non-linear time-series using higher-order neural networks
    • Poznan, Poland
    • Tawfik, H.; Liatsis, P. (1997). Prediction of non-linear time-series using higher-order neural networks. In Proceeding IWSSIP'97 conference, Poznan, Poland.
    • (1997) Proceeding IWSSIP'97 Conference
    • Tawfik, H.1    Liatsis, P.2
  • 22
    • 0001202594 scopus 로고
    • A learning algorithm for continually running fully recurrent neural networks
    • R.J. Williams, and D. Zipser A learning algorithm for continually running fully recurrent neural networks Neural Computation 1 1989 270 280
    • (1989) Neural Computation , vol.1 , pp. 270-280
    • Williams, R.J.1    Zipser, D.2
  • 23
    • 0034283989 scopus 로고    scopus 로고
    • A case study on neural networks to perform technical forecasting of forex
    • J. Yao, and C.L. Tan A case study on neural networks to perform technical forecasting of forex Neurocomputing 34 2000 79 98
    • (2000) Neurocomputing , vol.34 , pp. 79-98
    • Yao, J.1    Tan, C.L.2
  • 24
    • 24344476729 scopus 로고    scopus 로고
    • A comparison of global, recurrent and smoothed-piecewise neural models for Istanbul stock exchange (ISE) prediction
    • S. Yumlu, F.S. Gurgen, and N. Okay A comparison of global, recurrent and smoothed-piecewise neural models for Istanbul stock exchange (ISE) prediction Pattern Recognition Letters 26 2005 2093 2103
    • (2005) Pattern Recognition Letters , vol.26 , pp. 2093-2103
    • Yumlu, S.1    Gurgen, F.S.2    Okay, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.