Sub gradient iterative method for neural networks training

G. Shcherbakova, V. Krylov, Valentin Abakumov, V. Brovkov, I. Kozina
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引用次数: 3

Abstract

Sub gradient iterative method in the wavelet transformed domain for neural networks training rule is proposed. This method allows to improve noise stability, to reduce local extreme and initial point search sensitiveness.
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神经网络训练的亚梯度迭代法
提出了小波变换域下神经网络训练规则的次梯度迭代法。该方法提高了噪声稳定性,降低了局部极值和初始点搜索的灵敏度。
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