摘要
针对传统的数字识别方法的复杂性和局限性 ,提出了基于BP神经网络的手写体数字识别系统 .通过对样本抽取特征向量 ,并在选取了足够的样本对BP神经网络进行训练 ,将代表手写数字存储的样本输入给训练好的神经网络 ,可以根据神经网络的输出得到识别的数字 .仿真结果表明手写体数字识别系统是非常有效的 .
To counter the complexity and limitation of traditional digital distinguish methods,Script Digital Distinguish System based on BP Neural Network is proposed.By distilling the characteristic vector from samples, selecting enough stored samples to train the BP Neural Network,and putting the samples standing for the handwritten digits into trained Neural Network,the distinguished digital scripts are obtained according to the output of the neural network. Simulated results show the Script Digital Distinguish System acts well.
出处
《兰州铁道学院学报》
2000年第6期34-36,共3页
Journal of Lanzhou Railway University
