四川大学学报（自然科学版）2011，Vol.48Issue(6)：1324-1328,5.DOI:10.3969/j.issn.0490-6756.2011.06.018
基于动量BP神经网络的英文字符识别
English character recognition based on momentum BP neural network
刘慧 1余艳梅 1罗代升1
作者信息
- 1. 四川大学电子信息学院图像信息研究所,成都610064
- 折叠
摘要
Abstract
English character recognition has been applied widely in many important areas. There are many existing methods for English character recognition. A typical one of the methods is BP neural net work algorithm. However, BP neural network algorithm sometimes does not converge, or falls into os cillation. This leads to reduce the recognition rate. For this reason, in this paper, an improved algo rithm, so called momentum BP neural network algorithm, is studied for English character recognition. In the algorithm, a momentum factor and a momentum term are added to the parameter control of BP neural network algorithm. This can avoid oscillation of iteration, speed up convergence, and increase recognition rate. Using the momentum BP neural network algorithm, the experiments of recognizing 52 lower and upper case English characters have been carried out. The experimental results show that using this algorithm can obtain satisfactory recognition rate.关键词
BP神经网络/英文字符识别/动量BP神经网络Key words
BP neural network/english character recognition/momentum BP neural network分类
信息技术与安全科学引用本文复制引用
刘慧,余艳梅,罗代升..基于动量BP神经网络的英文字符识别[J].四川大学学报（自然科学版）,2011,48(6):1324-1328,5.
