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Volumn 15, Issue 6, 2005, Pages 435-443

A modified error backpropagation algorithm for complex-value neural networks

Author keywords

Backpropagation; Complex value network; Local minima; Modified error function

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; LEARNING; MATHEMATICS; SIGNAL PROCESSING;

EID: 33644877879     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0129065705000426     Document Type: Article
Times cited : (18)

References (16)
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    • Modification of backpropagation networks for complex-valued signal processing in frequency domain
    • M. S. Kim and C. C. Guest, Modification of backpropagation networks for complex-valued signal processing in frequency domain, in Proc. Internat. Joint Conf. Neural Networks 3 (1990) 27-31.
    • (1990) Proc. Internat. Joint Conf. Neural Networks , vol.3 , pp. 27-31
    • Kim, M.S.1    Guest, C.C.2
  • 5
    • 0031277466 scopus 로고    scopus 로고
    • An extension of the back-propagation algorithm to complex numbers
    • T. Nitta, An extension of the back-propagation algorithm to complex numbers, Neural Networks 10 (1997) 1391-1415.
    • (1997) Neural Networks , vol.10 , pp. 1391-1415
    • Nitta, T.1
  • 6
    • 0041833488 scopus 로고    scopus 로고
    • Solving the XOR problem and the detection of symmetry using a single complex-valued neuron
    • T. Nitta, Solving the XOR problem and the detection of symmetry using a single complex-valued neuron, Neural Networks 16 (2003) 1101-1105.
    • (2003) Neural Networks , vol.16 , pp. 1101-1105
    • Nitta, T.1
  • 8
    • 0742301621 scopus 로고
    • Application of simulated annealing to the backpropagation model improves convergence
    • C. B. Owen and A. M. Abunawass, Application of simulated annealing to the backpropagation model improves convergence, in Proc. SPICE Conf. Science of Artifical Neural Networks II (1993) 269-276.
    • (1993) Proc. SPICE Conf. Science of Artifical Neural Networks , vol.2 , pp. 269-276
    • Owen, C.B.1    Abunawass, A.M.2
  • 9
    • 0033333990 scopus 로고    scopus 로고
    • Training neural networks with additive noise in the desired signal
    • C. Wang and J. C. Principe, Training neural networks with additive noise in the desired signal, IEEE Trans. on Neural Networks 10 (1999) 1511-1517.
    • (1999) IEEE Trans. on Neural Networks , vol.10 , pp. 1511-1517
    • Wang, C.1    Principe, J.C.2
  • 10
  • 13
    • 1542471406 scopus 로고    scopus 로고
    • A modified error function for the backpropagation algorithm
    • X. G. Wang and Z. Tang, A modified error function for the backpropagation algorithm, Neurocomputing 57 (2004) 477-484.
    • (2004) Neurocomputing , vol.57 , pp. 477-484
    • Wang, X.G.1    Tang, Z.2
  • 16
    • 0038159963 scopus 로고    scopus 로고
    • Approximation by fully complex multilayer perceptions
    • T. Kim and T. Adali, Approximation by fully complex multilayer perceptions, Neural Computation 15 (2003) 1641-1666.
    • (2003) Neural Computation , vol.15 , pp. 1641-1666
    • Kim, T.1    Adali, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.