Weight Space Probability Densities in Stochastic Learning: II. Transients and Basin Hopping Times
暂无分享,去创建一个
[1] E. Oja. Simplified neuron model as a principal component analyzer , 1982, Journal of mathematical biology.
[2] C. Gardiner. Handbook of Stochastic Methods , 1983 .
[3] H. Kushner. Asymptotic global behavior for stochastic approximation and diffusions with slowly decreasing noise effects: Global minimization via Monte Carlo , 1987 .
[4] Halbert White,et al. Learning in Artificial Neural Networks: A Statistical Perspective , 1989, Neural Computation.
[5] John E. Moody,et al. Note on Learning Rate Schedules for Stochastic Optimization , 1990, NIPS.
[6] H. G. Schuster,et al. Fokker-Planck Description of Learning in Backpropagation Networks , 1990 .
[7] P. Lisboa,et al. Complete solution of the local minima in the XOR problem , 1991 .
[8] G. Orr,et al. Weight-space probability densities and convergence times for stochastic learning , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.
[9] John E. Moody,et al. Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria , 1992, NIPS.