A modified error backpropagation algorithm for complex-value neural networks
暂无分享,去创建一个
Xiaoming Chen | Zheng Tang | Catherine Vairappan | Songsong Li | Toshimi Okada | Zheng Tang | T. Okada | Xiaoming Chen | Songsong Li | Catherine Vairappan
[1] Cris Koutsougeras,et al. Complex domain backpropagation , 1992 .
[2] Francesco Piazza,et al. On the complex backpropagation algorithm , 1992, IEEE Trans. Signal Process..
[3] Charles B. Owen,et al. Application of simulated annealing to the backpropagation model improves convergence , 1993, Defense, Security, and Sensing.
[4] Tohru Nitta,et al. An Extension of the Back-Propagation Algorithm to Complex Numbers , 1997, Neural Networks.
[5] Tohru Nitta,et al. Solving the XOR problem and the detection of symmetry using a single complex-valued neuron , 2003, Neural Networks.
[6] Werner von Seelen,et al. On unlearnable problems -or- A model for premature saturation in backpropagation learning , 1996, ESANN.
[7] Andreas Hadjiprocopis,et al. Feed Forward Neural Network Entities , 1997, IWANN.
[8] Zheng Tang,et al. A modified error function for the backpropagation algorithm , 2004, Neurocomputing.
[9] Jay S. Patel,et al. Factors influencing learning by backpropagation , 1988, IEEE 1988 International Conference on Neural Networks.
[10] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[11] George Cybenko,et al. Approximation by superpositions of a sigmoidal function , 1992, Math. Control. Signals Syst..
[12] Tülay Adali,et al. Approximation by Fully Complex Multilayer Perceptrons , 2003, Neural Computation.
[13] George Cybenko,et al. Approximation by superpositions of a sigmoidal function , 1989, Math. Control. Signals Syst..
[14] Chuan Wang,et al. Training neural networks with additive noise in the desired signal , 1999, IEEE Trans. Neural Networks.
[15] Tülay Adali,et al. Fully Complex Multi-Layer Perceptron Network for Nonlinear Signal Processing , 2002, J. VLSI Signal Process..