摘要
手写体数字识别是模式识别研究领域多年来的热点,BP人工神经网络是目前应用最广泛的神经网络模型之一。将两者融合并结合Matlab软件,提出了一种简单的基于BP神经网络数字识别的方法,仿真实验结果表明,该方法识别效果良好,准确率高,有一定实用性。
Handwritten numeral recognition has been a hotspot of pattern recognition research field for many years while the BP artificial neural network is one of the most widely used neural network models .A simple method of numeral recognition based on BP neural network is proposed with the combination of the above two softwares and Matlab software . The simulation experiment results show that the method is very practical with its effective recognition and high accuracy .
出处
《计算机与数字工程》
2015年第2期223-225,共3页
Computer & Digital Engineering
关键词
BP神经网络
手写体数字识别
模式识别
neural network
handwritten numeral recognition
pattern recognition
