Based on the idea of standard back-propagation (BP) learning algorithm, an improved BP learning algorithm is presented.

在标准反向传播神经网络算法的基础上，提出了一种改进的反向传播神经网络算法。

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Based on expatiated the basic structure model and some general improved algorithms of BP neural network, this paper brings forward a new self-organization learning algorithm.

介绍了BP网络的基本结构模型与常见改进算法，在此基础上提出了一种新型的结构自组织BP网络算法。

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This paper presents an improved BP algorithm, which can adapt learning rate using gold-segmentation.

本文提出了一种改进的BP算法，该算法基于黄金分割法自适应调整网络学习速率。

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