摘要
分别采用单层感知器、BP网络和霍普菲尔德网络三种神经网络对26个英文字母进行识别,通过实验给出各网络的识别出错率,从中可以看出三种人工神经网络各自的优缺点,为选择神经网络进行字符识别提供了一定的依据。
The perception, BP Networks and Hopfield Networks are designed to recognize the 26 English letters. The recognition error rates are given by the result of experiment, from which one can see the advantages and disadvantages of these three neural networks. And the study and analysis in this paper are useful for selecting ANN to recognize character.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2006年第z3期2242-2244,共3页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金资助项目(50375148)
关键词
性能对比
感知器
BP网络
霍普菲尔德网络
字符识别
comparison of performance perception BP networks Hopfield networks character recognition
