Benchmarking Feed-Forward Neural Networks: Models and Measures
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[1] Y.-H. Yu,et al. Descending epsilon in back-propagation: a technique for better generalization , 1990, 1990 IJCNN International Joint Conference on Neural Networks.
[2] Scott E. Fahlman,et al. An empirical study of learning speed in back-propagation networks , 1988 .
[3] John F. Kolen,et al. Backpropagation is Sensitive to Initial Conditions , 1990, Complex Syst..
[4] Gerald Tesauro,et al. Scaling Relationships in Back-propagation Learning , 1988, Complex Syst..
[5] Frederick Mosteller,et al. Data Analysis and Regression , 1978 .
[6] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[7] M. Stephens. EDF Statistics for Goodness of Fit and Some Comparisons , 1974 .
[8] Javier R. Movellan,et al. Benefits of gain: speeded learning and minimal hidden layers in back-propagation networks , 1991, IEEE Trans. Syst. Man Cybern..
[9] Robert A. Jacobs,et al. Increased rates of convergence through learning rate adaptation , 1987, Neural Networks.