摘要
BP神经网络是一种误差逆传播算法训练的多层前馈网络,具备网络学习能力强、输入/输出模式映射关系存贮量大、事先不需要描述输入/输出映射关系等诸多优点的数学方程。本文通过BP神经网络的介绍,利用不变矩特征提取方法设计一种有效的BP神经网络印刷体数字识别演示系统,对印刷体数字识别的深入研究具有一定的指导意义。
The BP neural network ls a Kind of error back propagationalgorithm training multilayernetwork, with the advantages of strong network learning ability, a large storage of input/output model mapping, no need to describe in advance the input/output mapping, etc.. Through the introduction of the BP neural network, using the same moment feature extraction is an effective BP neural network numeral recognition demonstration system, and has certain guiding significance to the in-depth study of the numeral recognition.
出处
《科技广场》
2012年第3期24-26,共3页
Science Mosaic
关键词
BP神经网络
印刷体数字
不变矩
BP Neural Network
Printing Digital
Invariant Moments
