微型机与应用2012，Vol.31Issue(7)：36-39,4.
一种基于BP神经网络的数字识别新方法
A new method of numerical recognition based on improved BP neural network
刘炀 1汤传玲 1王静 1石文莹 1赵小兰1
作者信息
摘要
Abstract
In this paper, a new improved BP algorithm is presented to solve the problem that BP neural network can easily fall into slow convergence and minimum. This algorithm integrates the variable step method with the Newton method. The algorithm can speed up the convergence rate of BP neural network, and the convergence rate is faster than other algorithm. The BP neural network is used in the digital recognition and the identification model for the network is established. Using simulation experiments to observe generalization ability and identification accuracy of BP neural network, compare BP neural network with its improvement scheme, and put forward the improvement plan in note respectively place.关键词
BP神经网络/数字识别/变步长法/牛顿法Key words
BP neural network/numerical recognition/variable step method/Newton method分类
信息技术与安全科学引用本文复制引用
刘炀,汤传玲,王静,石文莹,赵小兰..一种基于BP神经网络的数字识别新方法[J].微型机与应用,2012,31(7):36-39,4.
