Neural fitting: Robustness by anti-Hebbian learning
暂无分享,去创建一个
[1] Juha Karhunen,et al. A Unified Neural Bigradient Algorithm for robust PCA and MCA , 1996, Int. J. Neural Syst..
[2] Mohamad H. Hassoun,et al. Nonlinear Hebbian rule: a statistical interpretation , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).
[3] Kurt Hornik,et al. Convergence analysis of local feature extraction algorithms , 1992, Neural Networks.
[4] Adam Prügel-Bennett,et al. Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks , 1993, NIPS.
[5] Erkki Oja,et al. Modified Hebbian learning for curve and surface fitting , 1992, Neural Networks.
[6] John B. Moore,et al. Global analysis of Oja's flow for neural networks , 1994, IEEE Trans. Neural Networks.
[7] Erkki Oja,et al. Robust fitting by nonlinear neural units , 1996, Neural Networks.
[8] E. Oja. Simplified neuron model as a principal component analyzer , 1982, Journal of mathematical biology.
[9] Erkki Oja,et al. Principal components, minor components, and linear neural networks , 1992, Neural Networks.
[10] E. Oja,et al. On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix , 1985 .
[11] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[12] Andrzej Cichocki,et al. Neural networks for optimization and signal processing , 1993 .