摘要
本文介绍了利用BP神经网络来识别手写体数字的原理,分析了传统BP算法收敛速度较慢的原因,提出了一种提高网络收敛速度的改进算法。实验数据表明,该改进算法比传统的算法在网络收敛速度上提高了九倍左右。
This paper presents the theory to recognize handwritten digits by the BP neural network, and an improved algorithm to accelerate the running speed of the network based on the analysis of the traditional BP algorithm＇ s running speed. The experimental results show the running speed of the improved algorithm is nine times that of the traditional algorithm.
出处
《计算机工程与科学》
CSCD
2008年第4期50-52,共3页
Computer Engineering & Science
关键词
神经网络
BP算法
手写体数字
特征提取
neural network
BP algorithm
handwritten digit
feature extraction
