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Volumn 1, Issue , 2008, Pages 279-282

Forecast Forex With ANN using fundamental data

Author keywords

Artificial neural network; Foreign exchange rate; Fundamental economic data

Indexed keywords

ARTIFICIAL NEURAL NETWORK; EMPIRICAL EVIDENCES; FOREIGN EXCHANGE RATE; FOREIGN EXCHANGES; FUNDAMENTAL ECONOMIC DATA; GROSS DOMESTIC PRODUCTS; INTEREST RATES; NEURAL NETWORK MODELS; PREDICTIVE CAPABILITIES; TIME-SERIES DATUM;

EID: 62949168237     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIII.2008.302     Document Type: Conference Paper
Times cited : (17)

References (5)
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    • Hornik, K., Stinchcombe, M. and White, H. (1989), "Multilayer feedforward networks are universal approximators," Neural Networks, 2, 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 2
    • 0034283989 scopus 로고    scopus 로고
    • A case study on using neural networks to perform technical forecasting of forex
    • J. T. Yao and C. L. Tan, A case study on using neural networks to perform technical forecasting of forex, Neurocomputing 34 (2000) 79-98.
    • (2000) Neurocomputing , vol.34 , pp. 79-98
    • Yao, J.T.1    Tan, C.L.2
  • 3
    • 62949093621 scopus 로고    scopus 로고
    • Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning internal representations by error propagation. In D. E. Rumelhart & J. L. McClelland (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition. 1: Foundations (pp. 318-364). Cambridge, MA: MIT.
    • Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning internal representations by error propagation. In D. E. Rumelhart & J. L. McClelland (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition. Volume 1: Foundations (pp. 318-364). Cambridge, MA: MIT.
  • 4
    • 0028543366 scopus 로고
    • Training feedforward networks with the Marquardt algorithm
    • Hagan, M.T., and M. Menhaj, "Training feedforward networks with the Marquardt algorithm," IEEE Transactions on Neural Networks, Vol. 5, No. 6, 1999, pp. 989-993, 1994.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.6 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.2
  • 5
    • 0025536870 scopus 로고
    • Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights
    • Nguyen, D., and B. Widrow, "Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights," Proceedings of the International Joint Conference on Neural Networks, Vol. 3, 1990, pp. 21-26.
    • (1990) Proceedings of the International Joint Conference on Neural Networks , vol.3 , pp. 21-26
    • Nguyen, D.1    Widrow, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.