TP391.41
提出了一种基于改进的BP网络方法来实现数字字符识别.通过对BP网络的神经元的研究与学习,设计了一种结构合理,收敛速率快的BP网络.试验测试结果表明,改进的BP网络方法对印刷体数字的识别率达到了100%,对手写数字的识别率达到了98%以上.
A system based on improved BP neural network was put forward to realize digital diagnosis, with satisfied results in experimental test.The rate reaches100% for printed numbers and more than 98% for handwritten numbers.
曾志军,孙国强.基于改进的BP网络数字字符识别[J].上海理工大学学报,2008,(2):201-204.