Empirical evaluation of the improved Rprop learning algorithms
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[1] A. K. Rigler,et al. Accelerating the convergence of the back-propagation method , 1988, Biological Cybernetics.
[2] William H. Press,et al. Numerical recipes in C , 2002 .
[3] J. van Leeuwen,et al. Neural Networks: Tricks of the Trade , 2002, Lecture Notes in Computer Science.
[4] Lalit M. Patnaik,et al. Target detection through image processing and resilient propagation algorithms , 2000, Neurocomputing.
[5] Christian Igel,et al. Improving the Rprop Learning Algorithm , 2000 .
[6] Christian Igel,et al. Fitness distributions: tools for designing efficient evolutionary computations , 1999 .
[7] Wolfram Schiffmann,et al. Speeding Up Backpropagation Algorithms by Using Cross-Entropy Combined with Pattern Normalization , 1998, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[8] Bernhard Sendhoff,et al. An Extended Elman Net for Modeling Time Series , 1997, ICANN.
[9] Heinrich Braun,et al. Neuronale Netze - Optimierung durch Lernen und Evolution , 1997 .
[10] N. Hansen,et al. Convergence Properties of Evolution Strategies with the Derandomized Covariance Matrix Adaptation: T , 1997 .
[11] Lutz Prechelt,et al. A quantitative study of experimental evaluations of neural network learning algorithms: Current research practice , 1996, Neural Networks.
[12] Nikolaus Hansen,et al. On the Adaptation of Arbitrary Normal Mutation Distributions in Evolution Strategies: The Generating Set Adaptation , 1995, ICGA.
[13] Martin A. Riedmiller,et al. Advanced supervised learning in multi-layer perceptrons — From backpropagation to adaptive learning algorithms , 1994 .
[14] J. Shewchuk. An Introduction to the Conjugate Gradient Method Without the Agonizing Pain , 1994 .
[15] Lutz Prechelt,et al. PROBEN 1 - a set of benchmarks and benchmarking rules for neural network training algorithms , 1994 .
[16] J. K. Kinnear,et al. Advances in Genetic Programming , 1994 .
[17] Martin A. Riedmiller,et al. A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.
[18] Wolfram Schiffmann,et al. Comparison of optimized backpropagation algorithms , 1993, ESANN.
[19] William H. Press,et al. Numerical Recipes in C, 2nd Edition , 1992 .
[20] O. Mangasarian,et al. Multisurface method of pattern separation for medical diagnosis applied to breast cytology. , 1990, Proceedings of the National Academy of Sciences of the United States of America.
[21] Tom Tollenaere,et al. SuperSAB: Fast adaptive back propagation with good scaling properties , 1990, Neural Networks.
[22] Luís B. Almeida,et al. Acceleration Techniques for the Backpropagation Algorithm , 1990, EURASIP Workshop.
[23] R. Eckmiller. Advanced neural computers , 1990 .
[24] Luís B. Almeida,et al. Speeding up Backpropagation , 1990 .
[25] S. Fahlman. Fast-learning variations on back propagation: an empirical study. , 1989 .
[26] Geoffrey E. Hinton,et al. Proceedings of the 1988 Connectionist Models Summer School , 1989 .
[27] Robert A. Jacobs,et al. Increased rates of convergence through learning rate adaptation , 1987, Neural Networks.
[28] E. Lorenz. Deterministic nonperiodic flow , 1963 .