The simple improved back propagation algorithm of the SNC is liable to real-time and on-line control.

单神经元控制器(snc)结构简单，改进的反向传播算法适合实时在线控制。

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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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Disadvantages of the back propagation algorithm are discussed, and the improved methods based on dynamic learning constants and different activation functions are presented.

讨论了误差逆传播算法存在的缺陷，并针对其缺陷提出了动态调整学习因子与合理选取激发函数相结合的改进方案。

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Next, an Improved Back Propagation(IBP)algorithm is proposed, considering the drawbacks of the standard Back Propagation (BP) in the neural network theory.

接着，作者对神经网络理论中的标准反向传播算法BP作了改进并提出了IBP算法。

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Next, an Improved Back Propagation(IBP)algorithm is proposed, considering the drawbacks of the standard Back Propagation (BP) in the neural network theory.

接着，作者对神经网络理论中的标准反向传播算法BP作了改进并提出了IBP算法。

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