TRAJECTORY METHODS FOR SUPERVISED LEARNING
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[1] P. Henrici. Discrete Variable Methods in Ordinary Differential Equations , 1962 .
[2] George D. Magoulas,et al. Effective Backpropagation Training with Variable Stepsize , 1997, Neural Networks.
[3] J. Snyman,et al. A multi-start global minimization algorithm with dynamic search trajectories , 1987 .
[4] Michael Frankfurter,et al. Numerical Recipes In C The Art Of Scientific Computing , 2016 .
[5] Immo Diener,et al. Trajectory Methods in Global Optimization , 1995 .
[6] F. H. Branin. Widely convergent method for finding multiple solutions of simultaneous nonlinear equations , 1972 .
[7] 猪股 修二,et al. On the Golf Method , 1961 .
[8] A. Griewank. Generalized descent for global optimization , 1981 .
[9] Martin Fodslette Meiller. A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning , 1993 .
[10] Singiresu S. Rao,et al. Optimization Theory and Applications , 1980, IEEE Transactions on Systems, Man, and Cybernetics.
[11] Lutz Prechelt,et al. PROBEN 1 - a set of benchmarks and benchmarking rules for neural network training algorithms , 1994 .
[12] A. K. Rigler,et al. Accelerating the convergence of the back-propagation method , 1988, Biological Cybernetics.
[13] V. Parisi,et al. A New Method for Solving Nonlinear Simultaneous Equations , 1979 .