余鹏飞, 刘兵. 改进的ART1网络及其在英文字符识别中的应用[J]. 云南大学学报(自然科学版), 2004, 26(5): 397-400.
引用本文: 余鹏飞, 刘兵. 改进的ART1网络及其在英文字符识别中的应用[J]. 云南大学学报(自然科学版), 2004, 26(5): 397-400.
YU Peng-fei, LIU Bing. An improved ART1 neural network used in English characters recognize[J]. Journal of Yunnan University: Natural Sciences Edition, 2004, 26(5): 397-400.
Citation: YU Peng-fei, LIU Bing. An improved ART1 neural network used in English characters recognize[J]. Journal of Yunnan University: Natural Sciences Edition, 2004, 26(5): 397-400.

改进的ART1网络及其在英文字符识别中的应用

An improved ART1 neural network used in English characters recognize

  • 摘要: 通过实验发现传统的ART1人工神经网络的分类结果和输入样本的顺序有关.分析并指出了原因,给出了相应的改进算法.最后,比较了传统算法和改进算法应用于英文字符识别的分类结果.

     

    Abstract: The traditional adaptive resonance theory 1(ART1) neural network is widely used in pattern recognition,but the classified result of ART1 is sensitive to the sequence of the input patterns.If the sequence changed,the result changed too.Its limitation is analyzed and the cause of it is that traditional ART1 neural network ignore the effect of each input pattern’s zero element on the result of classify.A new improved ART1 neural network is proposed and it can solve the problem mentioned above.Experiment results show the improved ART1 neural network is effective on English characters recognition.

     

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