【摘要】 提出了利用神经网络的分类功能,并借助于MATLAB软件的神经网络工具箱,采用具有自适应学习速率和附加动量因子的BP型神经网络,实现罗马数字模式识别的新方法。该方法同样适用于其它符号的模式识别。更多还原

【Abstract】 According to the classification function of ANN and the ANN toolbox of MATLAB, based on the BP model which has the adapting learning rate and the additional momentum factor, a new method is presented to recognize the Roman number. The method can also be used to recognize other symbols.更多还原