摘要
本文针对动态BP神经网络学习率优化方法收敛速度慢而且对误差曲面变化不敏感等不利因素,提出了一种改进的BP神经网络学习率的优化算法,该策略使网络对误差曲面变化敏感且收敛速度快。
In view of the low convergence rate and the poor sensitivity to the variation of the error curved surface of the dynamic BP neural networks learning rate optimization, this paper proposed an improved algorithm of the learning rate of BP neural networks. The strategy makes the network more sensitive to the variation of the error curved surface and has a fast convergence rate.
关键词
学习率
BP
神经网络
learning rate
BP neural networks
